Atlas Sound SD72W - speaker
$46.99
$34.99
Mfg # SD72W
CDW # 1439784
| UNSPSC 52161500
Know your gear
The loudspeaker used in the SD72W is the next generation of Atlas high performance cone loudspeakers, very similar to the preceding C-Series loudspeakers. The similarity in the sonic qualities ensures that contractors and designers who have worked with th
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Atlas 8" Dual Cone In-Ceiling Loudspeaker is rated
4.50 out of
5 by
30.
Rated 5 out of
5 by
reviewer1468602 from
Flexible, easy to scale, maintenance-free, and works well as a document store
What is our primary use case?
MongoDB can be used for many things. It's a document store, so you can add whatever collection you need to it. We use it for an application that we've built.
My team is not using it at this time, although other teams in the company may be.
What is most valuable?
The cloud-based nature of this solution makes it flexible and scalable. I like the fact that you can make the deployment bigger, as needed.
Not having to maintain it yourself is good.
What needs improvement?
Querying a dataset is not very intuitive, so I think that it can be improved.
For how long have I used the solution?
I have been using MongoDB Atlas for approximately two years, although I am not using it for my current project.
What do I think about the stability of the solution?
This is a stable product and we plan to continue using it.
What do I think about the scalability of the solution?
This is a very scalable product. There are approximately five users.
How are customer service and technical support?
I have not had experience with technical support.
Which solution did I use previously and why did I switch?
Prior to this solution, we have used PostgreSQL, which is a database. As a document store, MongoDB is fine.
What about the implementation team?
You don't have to maintain it yourself.
What's my experience with pricing, setup cost, and licensing?
We pay for licensing on a monthly basis and we are fine with the cost.
What other advice do I have?
I would rate this solution an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2021-02-11T00:00:00-05:00
Rated 5 out of
5 by
reviewer1612005 from
Overall well designed, user friendly, and new features added frequently
What is our primary use case?
We use this solution for database-managed services.
What is most valuable?
The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future.
For how long have I used the solution?
I have been using the solution for approximately two years.
What do I think about the stability of the solution?
The solution is very stable.
What do I think about the scalability of the solution?
When we use managed service it provides scalability automatically, it is a good option for us.
How are customer service and technical support?
We purchased the license for the solution to allow us to use the support and it was very high-level support we received. We had technicians advising us for the migration and it was really helpful.
How was the initial setup?
The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.
What about the implementation team?
The implementation was done by our two-person DevOps team and it took approximately one week.
What's my experience with pricing, setup cost, and licensing?
The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments.
What other advice do I have?
I rate MongoDB Atlas a ten out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2021-06-28T00:00:00-04:00
Rated 5 out of
5 by
reviewer1697925 from
Scalable and easy to use with good integration capabilities
What is our primary use case?
We store a lot of raw data in MongoDB and all our relational data is in RDS Aurora. We are still evaluating Aurora, however, primarily, most raw data is in MariaDB.
What is most valuable?
The solution is easy. It's just not the solution for every use case, however, it's very nice if you don't have structured data or you don't really worry about the structure all the time.
The integration capabilities are fine.
The dashboards are good.
The product is user-friendly.
The solution can scale.
What needs improvement?
We don't have any issues with the solution at this time. It does what we need it to do.
If it could be cheaper, that would make us happy.
For how long have I used the solution?
I've used the solution for over five years.
What do I think about the stability of the solution?
We don't have any problems with it. There are no bugs or glitches. It doesn't crash and freeze.
What do I think about the scalability of the solution?
The solution is scalable. If a company needs to expand it, it can do so.
We are a processing engine for financial transactions, therefore, we don't have a lot of users per se, however, we've got a lot of customers out there that use the functionality, the payment functionality that uses the system. While we don't have a user frontend all the time interacting with our database, it's basically systems talking to your database.
How are customer service and support?
We've never had to deal with technical support yet, therefore, I can't speak to how helpful or responsive they might be.
Which solution did I use previously and why did I switch?
Currently, I'm using Spring Boot on top of it and that's all I'm really worried about.
How was the initial setup?
The initial setup is very simple and straightforward. It's not overly complex or difficult. You just create the database from the user's perspective, it's as easy as that. With AWS, it's not an issue anymore in terms of implementation.
We have quite a big team of over 100 people and we're able to handle deployment and maintenance.
What about the implementation team?
We have a DevOps team that was able to handle the installation.
What's my experience with pricing, setup cost, and licensing?
You do get what you pay for. The solution isn't overly expensive.
We don't have any subscriptions that I know of. We are paying for document DB, which is a clone of MongoDB. That's part of our whole solution.
Which other solutions did I evaluate?
Before choosing this solution we did not evaluate other options.
What other advice do I have?
I'd rate the solution at a nine out of ten. It's brilliant for what we are using it for.
I'd recommend the solution to others.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2021-11-10T00:00:00-05:00
Rated 5 out of
5 by
RahulSingh12 from
An open-source product with good integration capabilities
What is most valuable?
I am impressed with the tool's integrations.
What needs improvement?
The tool's implementation should be made easier.
For how long have I used the solution?
I have been working with the product for two years.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
The tool is scalable. My company has more than 40 users for the solution.
How are customer service and support?
We had mailed tech support whenever we encountered issues and they had responded to us.
What about the implementation team?
The solution's deployment can be done in-house.
What's my experience with pricing, setup cost, and licensing?
The tool is free since it's an open-source product.
What other advice do I have?
I would rate the product an eight out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-05-23T00:00:00-04:00
Rated 5 out of
5 by
Luis Mario Ramos Santos from
A highly scalable solution with an intuitive user interface
What is our primary use case?
I use the solution for our document databases, cloud databases, e-commerce databases, and invoices.
What is most valuable?
The solution has a very intuitive user interface. It is very simple to use.
What needs improvement?
The product should introduce database mapping between SQL queries and document queries.
The product does not have ORM.
For how long have I used the solution?
I have been using the solution for the last eight years.
What do I think about the stability of the solution?
I rate the solution’s stability a ten out of ten.
What do I think about the scalability of the solution?
I rate the solution’s scalability a ten out of ten.
How was the initial setup?
The initial setup was very straightforward.
What about the implementation team?
Deployment can take anywhere between one month to six months.
What's my experience with pricing, setup cost, and licensing?
The solution is fairly priced.
What other advice do I have?
The product is cloud-based. Overall, I rate the product a nine out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-05-18T00:00:00-04:00
Rated 5 out of
5 by
Dave Ezrakhovich from
A schema-less database that is easy to use and provides good value for money
What is our primary use case?
MongoDB Atlas is a schema-less database.
What is most valuable?
MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for. MongoDB Atlas is very easy to use when you are familiar with MongoDB and how to write query functions. I would give the solution a nine out of ten for usability.
What needs improvement?
MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI. The solution should include a query builder that will help people who aren't developers get data.
For how long have I used the solution?
I have been using MongoDB Atlas for two years.
What do I think about the stability of the solution?
MongoDB Atlas is a stable solution.
What do I think about the scalability of the solution?
MongoDB Atlas is a scalable solution. Around ten people were working with the solution in my organization.
How was the initial setup?
The solution's initial setup is straightforward.
What's my experience with pricing, setup cost, and licensing?
MongoDB Atlas provides good value for money. MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage.
What other advice do I have?
MongoDB Atlas is a cloud-based solution. The solution's installation, setting up, and integration are relatively easy. MongoDB Atlas provides the functionalities it promises.
Users should focus on the technical design and figure out how they want the data, what data scheme they're aiming for, how to build properly, and how to design data properly. For everything else, they provide you with enough tools to understand what you're doing pretty much by yourself.
Overall, I rate MongoDB Atlas a nine out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-11-20T00:00:00-05:00
Rated 5 out of
5 by
IrfanRashid from
Free for development, scalable, and user-friendly for connecting with frontend and backend technologies
What is our primary use case?
We store all our data in MongoDB. Our frontend application is .NET, our backend is .NET, and the database is MongoDB.
We have two products running on MongoDB: a financial expense management solution and a sustainability product.
What is most valuable?
It can store data as a flat file, similar to a file system. It's called Atlas GridFS and it works very well.
MongoDB is a very good database. The Community Edition is free, which is cost-effective for development.
The API support is excellent for integration.
What needs improvement?
From an improvement standpoint, MongoDB can improve security.
There are some challenges from a security point of view. Since the file can be easily accessed, there should be more security features. The data should be encrypted in some form to prevent unauthorized access.
For how long have I used the solution?
We've been using MongoDB for three to four years.
What do I think about the stability of the solution?
I would rate the stability a nine out of ten.
We haven't seen high volumes of data yet. Our solution is for expense management, not a full ERP solution. So far, the system has been stable with the current number of users.
What do I think about the scalability of the solution?
It should be scalable and easily work with other databases like SQL or Oracle. We shouldn't have trouble converting the data.
I would rate the scalability a nine out of ten. Some security features are still under development.
MongoDB isn't for our internal users; it's for our customers. Depending on the organization, it can go up to ten thousand or even a hundred thousand users. We have a lot of customers using our applications built on MongoDB.
We are a young company, only five years old. We recently started this product, but we know that around a hundred people are using it in one of our products for web and mobile.
How are customer service and support?
We have a very strong internal technical team that manages everything. We haven't needed any support from MongoDB because our team is proficient in using it.
Which solution did I use previously and why did I switch?
My team only recommended MongoDB. We haven't worked with other databases for our current projects. I have worked with SQL Server and Oracle in the past as an SAP consultant, but those were for ERP systems, not application development.
How was the initial setup?
MongoDB's setup is very easy. We plan to only use MongoDB for our future database needs.
It works very well with the .NET and Angular platforms due to the flat file support. So, we went with that option.
What was our ROI?
The main benefits include cost savings and speed. The application runs fast, and accessing data is quick.
ROI is very good.
What other advice do I have?
It's very easy to manage for our technical data analysts.
Overall, I would rate the solution a nine out of ten. I recommend using MongoDB because it's free for development, scalable, and user-friendly for connecting with frontend and backend technologies like Angular and .NET.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner
Date published: 2024-06-03T00:00:00-04:00
Rated 5 out of
5 by
MphoMorake from
Serves as a general-purpose database and provide IoT integration
What is our primary use case?
We primarily utilize MongoDB Atlas for tasks such as IoT integration. Additionally, it serves as a general-purpose database that aggregates analytics data before transferring it to a data lake. Its versatility allows for various applications, providing flexibility and ensuring the availability of essential data across different systems. While it is used in diverse contexts, many use it for IoT-related initiatives.
How has it helped my organization?
We prefer MongoDB Atlas over SQL because most of the data generated with IoT devices is unstructured. This gives you flexibility; you don't have to define specific schemas all the time, and sometimes, the structure of the object varies.
It improves data management along the same lines. MongoDB Atlas supports structured data with IoT projects.
What is most valuable?
MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases.
What needs improvement?
One area for enhancement is containerization. They could explore ways to facilitate deploying MongoDB containers within the platform.
For how long have I used the solution?
I have been using MongoDB Atlas for five years.
What do I think about the stability of the solution?
I rate the solution’s stability a nine out of ten.
What do I think about the scalability of the solution?
Two people use this solution because they work with sensors and other variations of IoT.
I rate the solution’s scalability a nine out of ten.
How are customer service and support?
The tool provides a forum where users can engage with experts. These experts offer assistance tailored to your specific needs, whether you're focused on product-centric queries or diving deep into particular use cases. Ultimately, the support you receive depends on your requirements and the extent of your experience with the platform.
How was the initial setup?
The initial setup of MongoDB Atlas is straightforward. The user-friendly UI guides you through the setup process seamlessly. It would be beneficial if they could maintain this simplicity across different operating systems. Additionally, if they can streamline the process to easily deploy with containers, it would greatly enhance user experience and make life easier.
What's my experience with pricing, setup cost, and licensing?
MongoDB Atlas offers various options based on your needs. It can accommodate both, whether you require the enterprise version with advanced features or prefer to start with an open trial version.
What other advice do I have?
Security is primarily organized around organizational principles, allowing you to customize and adjust each tool according to your specific security policies. I recommend the product. Every product serves a purpose as long as it addresses the right problem. MongoDB Atlas has proven particularly effective for applications such as analytics and IoT, making it a recommended choice for those use cases.
Overall, I rate the solution a nine out of ten.
Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner
Date published: 2024-05-20T00:00:00-04:00
Rated 5 out of
5 by
MuhammadBilal7 from
Offers the ability to scale across zones and define multiple nodes but there is a learning curve
What is our primary use case?
We may use it as an application database. The application stores the data as documents in the database, which is a preference for our company because it’s a Document DB and a NoSQL database, which are preferred over traditional relational databases.
How has it helped my organization?
MongoDB has wrapped up the whole development lifecycle. MongoDB has multiple built-in tools such as MongoDB Shell, Compass, and other tools. It helps the developers to use that specific tool efficiently. Users do not have to worry about finding the tools and then installing and using that specific tool to communicate with their database cluster. MongoDB has a built-in option using MongoDB Shell or Compass for that purpose.
So, it has positively impacted the development speed and productivity.
What is most valuable?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple features, including built-in backup, all under the same roof, without the need for external tools.
So, the scalability feature supported our data growth overall. The growth of the database depends on the application side. The database aids in scaling when the application requires more storage.
It’s configured to scale automatically across zones and regions, ensuring that performance doesn’t degrade even when scaling down.
What needs improvement?
The scalability aspect is quite difficult to implement. It should be much easier for the end user. You cannot use less than two nodes; you have to use at least two nodes, and they categorize their nodes, like m5, m10, and m20, according to their resource practices, which are also a bit expensive.
The end-user has to learn a bit about it. MongoDB has great content on its site. They call it MongoDB University. They actually have great content for that. Anyone can learn it, but one has to study it before diving into it or starting to use it.
For how long have I used the solution?
I have been using MongoDB Atlas for almost three years.
What do I think about the scalability of the solution?
The scalability is good. In my team, almost the whole development team is using it. So, there are around five end users.
How are customer service and support?
I contacted customer service and support for multiple purposes while configuring. The support is quite efficient, and the guidance is quite good. Initially, when I was working on it, I had to communicate with the support team.
So, I had a good experience with the support.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is not too difficult but can be somewhat tricky.
It is tricky mainly in terms of configuration, especially if it's not internet-accessible, configuring it to stay within the same data center while allowing developers access without network barriers.
What about the implementation team?
What was our ROI?
It is worth my money at the end of the day.
What's my experience with pricing, setup cost, and licensing?
The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones.
What other advice do I have?
If you want to go with NoSQL, I would suggest using MongoDB.
If you are saving documents and prefer AWS services, AWS also has their DynamoDB for that purpose. I would suggest using AWS service if all of your services are already on AWS.
Overall, I would rate it a seven out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-04-30T00:00:00-04:00
Rated 5 out of
5 by
Roman Starikov from
A convenient database that is simple to use
What is most valuable?
The product is simple to use and enterprise-ready. It is also open-source.
What do I think about the stability of the solution?
I rate the product's stability a nine out of ten.
How was the initial setup?
The tool's deployment is easy. We used Amazon EC2 Containers to deploy it.
What other advice do I have?
MongoDB Atlas is a convenient database that you need to start using. I rate it a nine out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-12-11T00:00:00-05:00
Rated 5 out of
5 by
reviewer2093853 from
Self manages, reduces operations times, and feature rich
What is our primary use case?
We use MongoDB Atlas for all of our payment transaction processing.
How has it helped my organization?
The are many advantages that we have experienced while utilizing the MongoDB Atlas. By working with this tool, our teams have been able to progress quickly without the need to involve any internal provisioning departments. This empowers application developers to independently manage the scaling up and down of the database clusters, allowing the database to be treated as an integral component of the application itself. As a result, this has significantly streamlined the development process and increased efficiency.
What is most valuable?
MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features.
What needs improvement?
A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective.
For how long have I used the solution?
I have been using MongoDB Atlas for approximately five years.
What do I think about the stability of the solution?
My overall impression of the stability of the MongoDB Atlas is incredibly positive. From our experience, it has proven to be highly reliable and efficient in its operation. The fact that it has built-in features such as auto-scaling and automatic updates enhances its stability even further. Additionally, its performance management capabilities, particularly in regard to indexing, are truly impressive. This level of stability has allowed us to focus on other tasks, as we do not have to frequently return to make adjustments or resolve issues with the database.
What do I think about the scalability of the solution?
The scalability of the solution is amazing. We plan to increase our usage.
How are customer service and support?
There have been instances when we have needed to reach out to the technical support team for assistance. In order to ensure the highest level of security and connectivity, we have implemented measures, such as utilizing Google Private Connect and engaging with MongoDB Atlas. These actions were necessary to effectively resolve any questions or issues that arose.
The technical support team at MongoDB Atlas is incredibly friendly and accommodating. They make you feel like more than just a client and their expertise in technology is exceptional. Unfortunately, there has been some fluctuation within the team and it is rare that we are able to speak with the same person on multiple occasions. However, despite this, they consistently go above and beyond in providing assistance and resolving any issues.
I rate the support from MongoDB Atlas a seven out of ten.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
I have not used another solution similar to MongoDB Atlas.
How was the initial setup?
The initial setup process for this specific item is incredibly straightforward and simple, requiring only a few clicks of buttons to initiate its deployment. This makes it incredibly user-friendly, as even individuals with limited technical knowledge or expertise are able to complete the setup with ease. Its design is foolproof, which is a testament to its efficiency and accessibility.
The deployment process consisted of several important steps. Firstly, we logged into the MongoDB Atlas database to access the cluster that we desired to deploy. We specified the size we wanted and then initiated the deployment process. After completion, the solution was up and running and accessible through the internet.
The deployment takes only a few minutes.
What about the implementation team?
The solution was internally managed and deployed.
What was our ROI?
The return on investment comes from the engineering experience. That's been a good return on investment.
What's my experience with pricing, setup cost, and licensing?
The price of MongoDB Atlas is highly affordable.
When comparing the costs of managing the data internally versus utilizing an external solution, it is significantly more cost-effective to choose the latter option. The external solution saves on the resources and expertise needed to manage the data in-house, making it a more economical choice.
The standard license that we have is a basic agreement that covers most of the typical usage requirements. However, we understand that each client has different needs and therefore, we are open to negotiating discounts and custom usage agreements. As far as fees go, we do not have any additional charges other than the standard license. On rare occasions, they might offer training or consultancy services which might incur additional charges, but these are typically communicated beforehand and agreed upon.
Which other solutions did I evaluate?
Before making the ultimate decision to select MongoDB Atlas as our database platform, we thoroughly evaluated several other options that were available to us. We had access to the Cassandra database system and the Relational Database Service (RDS), as well as our existing traditional database systems such as Oracle. All of these options were carefully examined and evaluated to ensure that we were making the best decision for our needs.
The choice to utilize the MongoDB Atlas was made due to the complexity and richness of the data sets that needed to be stored. The team evaluated other options, including Amazon's DynamoDB, but found that MongoDB Atlas was seamless and was a better fit for their needs. The benefits of using MongoDB Atlas include the ability to handle complex data without the constraint of a strict schema. There have not been any drawbacks or negative experiences in using this solution, as the team has consistently found it to be effective and efficient.
What other advice do I have?
I use the solution daily.
My advice to others is for them to use the solution and stop doing everything themselves.
I rate MongoDB Atlas a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-02-08T00:00:00-05:00
Rated 5 out of
5 by
Andrea Berri from
Easy to deploy, scalable, and has great technical support
What is our primary use case?
For MongoDB as a service, there are two distinct ways to use it: as a personal user, where one can register on Atlas and experiment with its features; and as a professional, where one can use it for backup management, environment management, and creating figures. Additionally, MongoDB Atlas has features such as data lake capability, the ability to create charts from queries without using other BI tools, and Apache Lucene for text search. I have experimented with these features, but I have not used them professionally. The most relevant use for me is managing backups. Atlas MongoDB also allows for making REST calls and creating applications with triggers, although I have not used it for programming applications much.
What is most valuable?
The most useful feature is the management of the backup. I use a managed tool offered by MongoDB to manage an on-prem environment and compare it with the SaaS service and software. The solution is very ready-to-use and it is much simpler to manage backups, which cuts down on the amount of work and stress. It is much easier for me to do, and I understand that Atlas MongoDB has many features. However, for the type of DBIR work I do, backup management is the most important feature.
What needs improvement?
There are some Mongo new features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud. MongoDB is currently working on these features. With the latest version of Mongo, there are new tools that help with migrating. However, currently, only Mongo can use these new features. Soon these migration tools should be released to the public and could really assist with migration also from SQL on-prem environment to Atlas.
For how long have I used the solution?
I have been using the solution for four years.
What do I think about the stability of the solution?
The solution is very stable.
What do I think about the scalability of the solution?
I give the scalability a nine out of ten. MongoDB is very easy to scale and with Atlas, it is possible with a few clicks and configurations.
How are customer service and support?
The technical support team is skilled, prepared, and really helpful.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is straightforward. Only one person is required for deployment.
What's my experience with pricing, setup cost, and licensing?
For me, MongoDB Atlas could be expensive as every cloud service because I don't have many other terms of comparison, but I think it is not so expensive for customers. In the end, they may be able to save money rather than buy it on-premise however, on-premise, they do not have access to all the features that Atlas exposes. The costs are similar to having a cloud provider and if we look at the short-term, there is a real saving of money investing in their service instead of making it on-prem in the same scenario.
What other advice do I have?
I give the solution an eight out of ten. I am not familiar with other SQL databases on the cloud. I know that Atlas is quite stable and the service is good, providing customers with all the necessary features to use it as a service. MongoDB Atlas is integrated and available on Google, AWS, and Azure.
I advise people to take advantage of the free courses from MongoDB University that are very well done to gain a general knowledge of MongoDB. Therefore, if someone has no experience with Mongo, they can get great preparation for the MongoDB University course without spending any money.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-02-21T00:00:00-05:00
Rated 5 out of
5 by
Manav Sethi from
A database with a set of additional functionalities
What is our primary use case?
Apart from meeting all our high-performance database needs, the major use of MongoDB Atlas is for migrating most of the queries toward the UI part. With the Data API feature, we can now create database queries directly from the UI, which we build in React and Angular. After creating the queries from the UI, we hit the Data API, and the results are obtained directly, making it the best feature we have come across lately.
What is most valuable?
The most valuable feature of MongoDB Atlas is that it's on the cloud, so you don't need to set up all your servers. It has the latest features like MongoDB Atlas Data Lake, Data APIs, and high-performance MongoDB on the cloud. It also allows us to visualize data through charts. So, the charts are visible on MongoDB Atlas. In my projects, I found users to be the most useful feature of the solution. We deployed MongoDB Atlas for around 500 users and gave them different authorized roles and permissions, allowing us to create an updated database this year.
What needs improvement?
I believe MongoDB Atlas has room for improvement in terms of providing more convenient UIs for data manipulation. At present, we are required to create an HTTP proxy after the database and then use the UI to communicate with the database via that proxy. If MongoDB Atlas could offer UI features to create tables and add or update records from them, it would eliminate the need for UI development. For instance, if we have a table or collection of orders and products, and MongoDB has charts, then MongoDB Atlas could offer some tables to create tables, create orders, create products, update orders, update products, and link orders and products. So, we are basically expecting a UI to change the database.
For the additional features, I think giving the UI or the user interface to create tables or something similar would help simplify creating orders and products for a layman with zero technical knowledge.
For how long have I used the solution?
I have used MongoDB Atlas quite a lot. I think it's been more than one and a half to two years since we, as a company, have been using it in our projects. Also, I have used it for personal and professional projects.
I think that my company is a customer of MongoDB Atlas.
What do I think about the stability of the solution?
MongoDB Atlas is a database that is quite fast, stable, and reliable.
What do I think about the scalability of the solution?
In my company, quite a lot of people are using MongoDB Atlas, with the majority of them relying on it. To put a number on it, I think more than 300 people are currently using MongoDB Atlas. Also, it is a scalable product.
How are customer service and support?
We have a team that takes care of technical support for MongoDB Atlas. I'm not sure if any complaints have been reported to them, but personally, I haven't had any issues that required me to raise a complaint.
Which solution did I use previously and why did I switch?
We decided to migrate from the old Legacy SQL databases and try out new things. MongoDB Atlas provided functionalities beyond just being a database, and we have been very satisfied with it.
How was the initial setup?
MongoDB Atlas can be deployed on all three major cloud providers, which include AWS, Google Cloud, and Azure. When creating an Atlas instance, one can choose which cloud provider to use.
Setting up MongoDB Atlas is a breeze. The setup process is very easy.
The time it takes to deploy MongoDB Atlas can vary from person to person, depending on their satisfaction. However, depending on the size, it usually takes around one and a half to four or five minutes. But I think the deployment time can be reduced to just 15 to 30 seconds. That would make the process even better.
What's my experience with pricing, setup cost, and licensing?
I'm more of a technical person and don't take care of the cost. The finance team takes care of it. But I have seen the cost, and it was pretty cheap. The cost is in cents for the millions of requests the solution handles. I think that the solution is definitely worth the money.
What other advice do I have?
If you look at it technically, it depends on individual requirements. MongoDB Atlas is certainly scalable, but when compared to Legacy SQL databases, they are actually less scalable. However, if your system doesn't need to be scalable at a global level and you only need the solution for just two or three countries, or you only have around 10 to 20 million users, then MongoDB Atlas is a great option to consider because of the additional functionalities it provides above and beyond just being a database.
The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily. This is the first point to consider. Secondly, MongoDB Atlas is essentially a cloud-based database, so it should offer some provision for performing the same tasks on local computers. I believe that MongoDB Atlas will implement these improvements in the near future, so it won't take much time. Owing to the aforementioned reasons, I rate this solution an eight out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-03-08T00:00:00-05:00
Rated 5 out of
5 by
Gulshan Aggarwal from
Quick and easy to deploy
What is our primary use case?
We use the solution to build applications online.
What needs improvement?
I would like to have better performance for user experience with the solution.
For how long have I used the solution?
I have been using the solution for one and a half years.
How was the initial setup?
The initial setup is straightforward.
What other advice do I have?
I give the solution an eight out of ten.
We have eight to ten people using the solution in our organization.
I recommend the solution. There are no problems with MongoDB Atlas
Which deployment model are you using for this solution?
On-premises
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-01-29T00:00:00-05:00
Rated 5 out of
5 by
Isuru Jayathissa from
Schemaless, stable, and easy to set up
What is our primary use case?
We're developing a product using multi-tenant architecture, but we don't have any predefined structure, so we need to use MongoDB Atlas to support predefined architecture.
What is most valuable?
Being schemaless is what I like best about MongoDB Atlas.
What needs improvement?
An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup.
I want a query feature added to MongoDB Atlas, or if it's available, improve on it. My team needs manual coding for the pipelines, for example, creating and executing pipelines. If the query feature of MongoDB Atlas has some improvement, then the process for pipeline creation and execution would be better.
For how long have I used the solution?
I've been using MongoDB Atlas for around three years.
What do I think about the stability of the solution?
MongoDB Atlas is a stable solution. A product related to it, the MongoDB Atlas Data Lake, on the other hand, could be more stable.
How are customer service and support?
My company contacted the MongoDB Atlas Australian support team once, and I'm rating the team eight out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We decided to go with MongoDB Atlas because you also get MongoDB Realm, a product that lets you sync data with mobile devices.
How was the initial setup?
MongoDB Atlas has an easy setup.
I didn't deploy the solution because another senior took care of the deployment.
What's my experience with pricing, setup cost, and licensing?
I'm not familiar with the cost of MongoDB Atlas.
What other advice do I have?
I'm using MongoDB Atlas version 4.2.
The solution is deployed on the MongoDB cloud.
Around four people, mainly developers and techs, use MongoDB Atlas within the company.
I recommend MongoDB Atlas to others because of the support my company gets, apart from the product being schemaless. MongoDB Atlas also has other features, and you can take advantage of MongoDB Realm, so it's like getting more than one product.
My rating for MongoDB Atlas is eight out of ten.
My company is a MongoDB Atlas customer.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-02-03T00:00:00-05:00
Rated 5 out of
5 by
Souvik Banerjee from
Stable, with high availability and many new features coming in, but technical support needs improvement, and the cost of support is expensive
How has it helped my organization?
I'm no longer working for the company that uses MongoDB Atlas, and I didn't stay there long, but the search functionality of the solution was helpful. The cost reduction from using MongoDB Atlas has also been beneficial. The solution also supports pay-as-you-go, another benefit of MongoDB Atlas.
What is most valuable?
What I found most valuable in MongoDB Atlas is its Elasticsearch feature.
What needs improvement?
MongoDB Atlas would be better if it had facilities for data warehousing, data lake, or ETL jobs. It probably has this functionality for large data sets, but I've not read about it, and I'm not so sure.
It would also be great if it were easier to integrate MongoDB Atlas with AWS services. Native integration between MongoDB Atlas and AWS services would make the solution better.
In the next release of the solution, the company wants to receive better support from the MongoDB Atlas team.
For how long have I used the solution?
I used MongoDB Atlas for eight to twelve months, but my last usage of the solution was six months ago.
What do I think about the stability of the solution?
MongoDB Atlas has high availability, so I have no complaints about its stability. When the database goes down, it results from huge queries or some malfunction in the operations, but the solution is usually stable.
What do I think about the scalability of the solution?
Regarding scalability, if I'm running the free version of MongoDB Atlas, a tiny application, it's an eight out of ten. However, if I'm running an extensive application that requires some support, I'd rate the scalability of MongoDB Atlas as six out of ten.
How are customer service and support?
I keep hearing from my previous team that the technical support for MongoDB Atlas has been slow on some queries or query executions.
You also have to pay for MongoDB Atlas support, and it's expensive. It would be great if support were cheaper because the team frequently interacts with technical support because of database failures, connection breaks, etc.
The technical support for MongoDB Atlas is not up to the mark, mainly because of the extra costs, so I'm rating that area three out of ten.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
My company previously used Amazon DocumentDB, so I contacted the MongoDB Atlas team as I thought it would be better for the company to switch to MongoDB Atlas because it offered Elasticsearch, which would be helpful for the company's use case. Instead of setting up a separate Elasticsearch, my company can use the Elasticsearch functionality in MongoDB Atlas.
Another reason for switching to MongoDB Atlas is that its cost was significantly less than the cost of Amazon DocumentDB.
Amazon DocumentDB lacked some of the features you can find in MongoDB Atlas because it wasn't up-to-date with the latest MongoDB.
MongoDB also supported query execution, so it was better for the use case of my company.
How was the initial setup?
It is pretty simple to set up MongoDB Atlas from scratch, and it's a good experience, but migrating from another solution to MongoDB Atlas is more complex. For example, the company was using Amazon DocumentDB and had to migrate from that solution to MongoDB Atlas. Because of the massive data, it took some time to migrate to MongoDB Atlas fully.
Deploying the solution required the support of the MongoDB Atlas team. Still, if you have one person with expertise on the infrastructure, for example, a DevOps person, that would suffice, primarily if your data volume isn't that big.
If it's a raw MongoDB Atlas setup, one person with basic skills can also handle the deployment by learning the ready-made setup process from YouTube. However, if you want to set the solution up with your EC2 instance sitting around in some VPC, you must do VPC pairing.
Connecting MongoDB Atlas with AWS Lambda on a VPC will be more challenging because it's outside the AWS native environment. Connecting the server to the MongoDB Atlas database would be a challenge. The deployment team would need various skill sets for challenging tasks, such as database migration, VPC pairing, etc.
What about the implementation team?
An in-house team implemented MongoDB Atlas with a consultant from the MongoDB Atlas team.
What was our ROI?
I don't have many complaints about MongoDB Atlas, ROI-wise. It's just the support that's a little expensive, so on that side, there's not a very great ROI. However, from the database side, as MongoDB Atlas has many new features coming in, the ROI is okay.
What's my experience with pricing, setup cost, and licensing?
MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model.
Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive.
MongoDB Atlas has different pricing models, so pricing is five out of ten for storing the data. The support is expensive, so that's three out of ten. For data updates, I'd give the price seven out of ten.
What other advice do I have?
I have some experience with MongoDB Atlas.
I remember using version 4.2 of MongoDB Atlas.
I advise anyone planning to implement MongoDB Atlas to start small and get around the platform and documentation. Learn about the MongoDB Atlas fundamentals, such as VPC pairing, etc. If you want to scale the solution, review the documentation on that first, apart from learning the platform.
My rating for MongoDB Atlas is seven out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-02-01T00:00:00-05:00
Rated 5 out of
5 by
Leonard Niehaus from
An Easy-To-Use, easily accessible, and quick to learn Web-Based Cloud Database
What is our primary use case?
We use it to power a software-as-a-service cloud solution to book meeting rooms, parking spaces, and workspaces. We have multiple clients using this solution. A Node.js BackEnd is also being used along with Mongoose, and it is running on Cloud Run. Then there is a VPC connection to MongoDB Atlas.
What is most valuable?
The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is easily accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database.
What needs improvement?
When I edit a document from the web-based Explorer, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connector for Google Looker Studio.
For how long have I used the solution?
I have been using it for three years.
What do I think about the stability of the solution?
The interface could be more reliable. It is not a stable product because sometimes we see the explorer being down or unable to log data and the interface turning to the five hundred server error. However, it's ninety-five percent stable. I don't always trust it, but most of the time, I do.
What do I think about the scalability of the solution?
It scales well. I can only hope that it would be possible to configure and that it could scale down quicker. Now it takes twenty-four hours to scale down.
We have 15 developers who regularly use the solution.
How are customer service and support?
The experience with the first-level support was a bit annoying as they took a lot of hours to figure out the issue, even though it was clear what needed to be corrected. But the professional support team on the paid support plan gave a clear and detailed response.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We've used SQL in the past. While building our product, and our architecture, MongoDB was very simple and a better choice. We chose to switch to MongoDB Atlas specifically because we did not want to manage our deployment database on our own. We chose to use MongoDB Atlas because it was the best choice in the market for managing MongoDB databases. It has a proper interface, and it's easy to get started. Its ability to run on Google Cloud Platform is one of the key sectors as the rest of our efforts run on it.
How was the initial setup?
The initial setup was super easy. It took 15 minutes to setup.
What other advice do I have?
I advise others to use the solution. I would tell others to use the serverless option, but not for people near Frankfurt, as the serverless interface is unavailable for Google Cloud in Frankfurt.
I would give it an eight out of ten as it's easy to use and quick to start.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Google
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-02-28T00:00:00-05:00
Rated 5 out of
5 by
Marco Giovannini from
Good autoscaling, responsive support, and very reliable
What is our primary use case?
The primary use case was as a data layer of a low code/no code automation platform.
How has it helped my organization?
It provided us with independence from specific cloud provider services giving us a high level of consistency.
What is most valuable?
The auto-scaling feature is the most valuable aspect. It allows us to get an idea of the capacity without guessing or worrying about coming up short.
What needs improvement?
We had some edge cases where auto-scale caused an issue where a node went offline at the same time and we had to deal with that. We had to reach out to support to resolve the issue.
There's a barrier entry in the support pricing from a sales point of view for a setup for a large number of small clusters so we had to fall back from purchasing the enterprise support for it.
The setup of integrations with cloud service providers as private connectivity and encryption can be improved.
For how long have I used the solution?
I've been using the solution over a year.
What do I think about the stability of the solution?
Aside from the one-time issue we had with one cluster in our early stage, the solution shows to be highly reliable.
What do I think about the scalability of the solution?
The platform is highly scalable and capable to adapt to the change in demand over time. We've constantly scaled up and down without issues.
How are customer service and support?
We only had basic technical support. We did not have enterprise support. However, the regular support has been okay. They answered our questions within one or two days.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We went from MongoDB Enterprise to Atlas. We've used enterprise and community versions before going to Atlas.
How was the initial setup?
In our case, we built an automation tool on top of it. We built our own Terraform module to standardize and automate the deployment to reach a level of consistency required and integrate with our deployment pipelines.
Offloading part of the management tasks to the service provider highly reduced the management complexity.
What was our ROI?
We have witnessed an ROI while using Atlas. The cost was reduced greatly in comparison to our previous solution. There's also cost reduction spent on engineers in terms of maintenance.
What's my experience with pricing, setup cost, and licensing?
The cost of the solution is fair. The cost savings are quite large compared to the enterprise solution. We've had a cost reduction moving to Atlas and have been able to do more than just running everything ourselves.
There is a cost for support that is based on the number of clusters, and that can be quite high for a large number of small clusters.
The platform itself we pay for usage.
What other advice do I have?
The scalability is great. Now, you no longer need to guess how much you need. It makes it easy to grow the platform as you grow your product.
I'd rate the solution eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.Partner
Date published: 2023-03-02T00:00:00-05:00
Rated 5 out of
5 by
Sajith Paul from
A developer-friendly solution that supports many functionalities and is easy to implement
What is our primary use case?
We create a MongoDB database or clusters. Then, we connect it to the application in a normal simple way.
What is most valuable?
The dynamic structures are the most valuable. The SQL is fast but requires a different structure.
What needs improvement?
The speed when combining two documents is concerning. In SQL, there are Joins. You can define relationships between two tables and go for complicated structures, but you can't do that for MongoDB Atlas. You can have logical structures that do the same thing, but they are really slow compared to the Joins in SQL. Combining two separate documents within a database is not recommended because it affects performance. So if they can make it faster and more efficient, it would be amazing.
For how long have I used the solution?
We have been using this solution for 15 months. I believe it is deployed on public cloud, AWS.
What do I think about the stability of the solution?
It is a stable solution.
What do I think about the scalability of the solution?
It is scalable, and they provide different options. We have about 20 people using the solution in our organization, and they are mostly developers.
How was the initial setup?
The initial setup was straightforward.
What's my experience with pricing, setup cost, and licensing?
I believe when it is deployed publicly, it is pretty cheap. But the costs are high if it is deployed on-premises or you're using a private database.
Which other solutions did I evaluate?
We decided to use MongoDB Atlas because we required some dynamic data structures. We never wanted to stick with a well-defined one. When there were questions about using well-defined ones, PostgreSQL turned out to be one of the choices, but we chose MongoDB Atlas.
What other advice do I have?
I rate the solution an eight out of ten because it's a good product. It supports many functionalities, is easier to implement, and the only issue is speed. It also doesn't have a lot of features that could support Joins. So if they fix that, I could scale my rating as high as nine or ten. I would recommend the solution. It is very developer-friendly, and the learning curve is not that high.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2022-11-12T00:00:00-05:00
Rated 5 out of
5 by
Gabriel Anderson from
Efficient database management, and easy-to-manage resources within our own cloud environment
What is our primary use case?
I have used MongoDB Atlas for my personal side projects as a database, and I have also used it as an infrastructure-as-code (IAC). In my apps, I have used the API to manage and create new databases programmatically. At my workplace, we use MongoDB Atlas for database management, access management, and configuration using Microsoft.
How has it helped my organization?
The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases. As a SaaS product, we don't need to worry about the infrastructure for on-premises servers or maintaining them. Additionally, MongoDB Atlas allows us to connect to our cloud, whether it's Azure, GCP, or AWS. This means we can manage these resources within our own cloud environment, change security rules, and integrate with other cloud resources as needed.
There are more than one hundred users in my organization.
What is most valuable?
I find the cluster demonstration and APIs to be the most valuable features of MongoDB Atlas. The APIs allow me to programmatically make changes to the environment. Additionally, the interface is user-friendly and easy to navigate. Another feature that I find useful is the separation of projects, which allows for different projects to have their own settings.
What needs improvement?
One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user. MongoDB Atlas should provide a way to export this action programmatically, so that we can easily integrate it with our IAC tools and deploy it afterwards.
For how long have I used the solution?
I have been working with MongoDB for around six years now, and have been using MongoDB Atlas since it was launched. I believe it's been about two years since I started using Atlas, but I can't recall the exact time.
What do I think about the stability of the solution?
It is a very stable solution.
What do I think about the scalability of the solution?
MongoDB Atlas is scalable and it offers several features for a DB as a service.
Which solution did I use previously and why did I switch?
We have used Azure SQL in the past, but it's not the main use in projects in the organization. We have also used MongoDB Atlas for their project, and Oracle DB is used in the organization as well.
How was the initial setup?
The initial setup was very easy. We didn’t need any expert to set up the solution.
What about the implementation team?
For my personal projects, I mainly use the UI interface of MongoDB Atlas, as well as the APIs. I write code that connects to the APIs and makes changes to the environment, such as creating new databases and managing security settings. In an enterprise setting, we typically have an administrator who uses the user interface to manage the environment, so there's not as much need for a specific deployment process.
What was our ROI?
There is some ROI because we don't need to have a separate operations team to maintain servers physically. MongoDB Atlas eliminates the need to worry about physical things like energy and space, as they are managed by the cloud provider.
What's my experience with pricing, setup cost, and licensing?
It has a fair price.
Which other solutions did I evaluate?
I prefer GCP because it's free and has great features related to artificial intelligence and the network is also very good. However, Azure has the best interface that is easy to use and deploy. It has ERM templates, which are JSON templates used to define resources that can be deployed, making it easier to work with. In contrast, GCP lacks such templates and some APIs are not easy to use.
What other advice do I have?
I've had a very positive experience using MongoDB Atlas so far. It's easy to use, and scalable, and the cloud-based option is very convenient. Overall, I would definitely recommend it to others looking for a database solution.
I would advise learning some SQL concepts to use MongoDB Atlas correctly. MongoDB Atlas is a cloud-based platform that provides a managed database service for MongoDB, a NoSQL database. Additionally, it is important to have network knowledge, specifically for administrators.
Overall, I would rate it a ten out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-03-05T00:00:00-05:00
Rated 5 out of
5 by
CharlesGreen from
Useful automatic data adjustments, handles multiple source data, and quick processing
What is our primary use case?
We work with millions of rows of data and we use MongoDB Atlas for data.
What is most valuable?
The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received.
We have a data repository that is floating and MongoDB Atlas allows many data from different sources without the need to convert it.
The solution allows for encryption, quick processing, self-manages, and indexes on the fly.
What needs improvement?
The price of the solution should be reduced.
For how long have I used the solution?
I have used MongoDB Atlas within the last 12 months.
What do I think about the stability of the solution?
The solution is incredibly stable. The solution keeps a copy of the data in different locations around the world. It is up 24 hours a day seven days a week.
What do I think about the scalability of the solution?
The scalability of the solution could be made simpler, it can be technical. It can be difficult to create applications and proof of concepts.
How are customer service and support?
The support is fine. You rarely connect with the support because of a problem. They are called more often if find out how to do some operations.
How was the initial setup?
The initial setup of MongoDB Atlas is simple. You create the infrastructure and the solution read the data and organizes it.
What was our ROI?
For large projects, MongoDB Atlas has proven an ROI.
What's my experience with pricing, setup cost, and licensing?
The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price.
What other advice do I have?
I would advise others to use the free component of MongoDB Atlas to see if the solution can be maintained in their organization.
I rate MongoDB Atlas a nine out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-04-26T00:00:00-04:00
Rated 5 out of
5 by
reviewer2140113 from
Easy to use with good security and the ability to extend
What is our primary use case?
I used this Solution to create a web application with a team using HTML, CSS, JavaScript, React.js, Express, and Node.js. One of these Web applications is Bconnected.
It also provides a fully managed, scalable, and flexible database environment. MongoDB Atlas is also well-suited for real-time analytics use cases, such as real-time monitoring of social media feeds. With its ability to support high-throughput read and write operations, This solution can help organizations perform real-time analytics on large volumes of data.
How has it helped my organization?
This solution is very helpful due to its ease of use. This solution provides a user-friendly interface and easy-to-use tools, which can help reduce the learning curve for database management. The benefits of this are to help the organization to save time and resources on training and enable them to focus on their core business activities.
The other thing that would improve every organization is scalability. It provides organizations with the ability to easily scale their database as their needs change. This means that organizations can quickly add or remove resources based on demand, which can help reduce costs and improve performance.
What is most valuable?
The security is great. This solution provides a range of advanced security features, including encryption at rest and transit, access control, and network isolation. This can help organizations to protect their sensitive data and comply with the industry.
The scalability is excellent. This solution provides the organization with the ability to easily scale its database up or down based on its changing needs. This can help the organization save costs by only paying for the resources they need and avoid overprovisioning.
What needs improvement?
We need improved query performance. The query performance of MongoDB Atlas can be slow, particularly when working with large datasets. Improvements in query performance could enhance the overall user experience.
We would like integration with more third-party tools and services and more integration options with third-party tools and services to enhance their workflows. The most specific areas for improvement and additional features that would be most valuable will depend on the needs and use cases of the organizations using MongoDB Atlas
For how long have I used the solution?
I have been using it for around one year.
What do I think about the stability of the solution?
It's designed to help users monitor and manage the health and stability of their database. It's also a reliable and stable solution that is well-suited for mission-critical applications and high-availability environments.
What do I think about the scalability of the solution?
Its ability to scale horizontally means that it can distribute data and processing across multiple servers. This allows for greater scalability and resilience, as it minimizes the impact of hardware failures and allows for more efficient use of resources.
Which solution did I use previously and why did I switch?
I had a little experience with a web-based database (PhpMyAdmin). It's different from this solution, which provides a graphical user interface for managing My SQL Database. If we compare them, this solution is a cloud-based NoSQL database service designed for use with MongoDB, while PhpMyAmin is a Web-based database management tool designed for the MySQL database.
How was the initial setup?
This solution provides extensive documentation and support resources to help users navigate the setup process and ensure that they are able to get the most out of the platform.
What's my experience with pricing, setup cost, and licensing?
The price of this solution is competitive compared to the other cloud-based database services. There is also a free tier available that provides up to 512 MB of storage and allows users to experiment with the service before committing to a paid plan.
For licensing, if we use it to build an application, we may be required to release the source code of our application under SSPL. The SSPL is a copyleft license that requires users who offer this solution as a service to release the source code of their application under the same license.
Which other solutions did I evaluate?
I did not evaluate other options.
What other advice do I have?
I highly recommend every developer use it.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-03-28T00:00:00-04:00
Rated 5 out of
5 by
Andry Rakotozafinirina from
Stable product with good scalability features
What is our primary use case?
We use MongoDB Atlas to manage transactions and tenant payments for our application.
What is most valuable?
The product provides quick transaction service, high availability, and efficient scalability features.
What needs improvement?
The product's file storage documentation needs improvement.
For how long have I used the solution?
We have been using MongoDB Atlas for five years.
What do I think about the stability of the solution?
It is a stable platform. I rate its stability a nine out of ten.
What do I think about the scalability of the solution?
I rate the product's scalability a nine out of ten.
Which solution did I use previously and why did I switch?
We are using MySQL at the same time.
How was the initial setup?
The initial setup requires knowledge of Linux systems. It takes ten to thirty minutes to complete, depending on the bandwidth of the server. It requires a team of three technicians to execute the process.
What other advice do I have?
MongoDB Atlas is a wonderful product. It is one of the top database platforms. I recommend it to companies planning to use the standard transaction maintenance.
I rate it a nine out of ten.
Which deployment model are you using for this solution?
Private Cloud
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-09-27T00:00:00-04:00
Rated 5 out of
5 by
Alexander Latyshev from
Easy to scale and offers good performance and stability
What is our primary use case?
It's good for performance and stability if you need a non-SQL database to store data.
How has it helped my organization?
We use it as a database for some of our microservices. We use it as a database for a few of our microservices.
What is most valuable?
The stability and performance are great. The high availability feature is great.
Moreover, I am happy with the automated backup and restore functionality.
What needs improvement?
In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it.
The pricing could be improved.
For how long have I used the solution?
I have experience with this solution. I've been with this product for a couple of years.
What do I think about the stability of the solution?
It is a stable solution. I would rate the stability a nine out of ten.
What do I think about the scalability of the solution?
It is a scalable product, but only if you use the paid features. And if you enable sharded cluster functionality, it scales very well.
How was the initial setup?
The initial setup is very straightforward.
The ease of setting up and maintaining your database clusters with MongoDB depends on the features you need. If you only need basic functionality, setup can be simple. But for additional features like reliability and backups, it might require a more complex configuration.
What about the implementation team?
We did it in-house.
What other advice do I have?
Overall, I would rate the solution a nine out of ten. I would recommend using this product.
If you need a no-SQL database, then MongoDB is a good choice.
Which deployment model are you using for this solution?
On-premises
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-02-07T00:00:00-05:00
Rated 5 out of
5 by
Ido Ben Ami from
Offers seamless support for diverse data structures and simplifies compliance
What is our primary use case?
In my SaaS role, MongoDB Atlas helped me meet compliance standards by keeping tenant and customer data in separate databases. I improved performance by setting up Atlas clusters in each region. In a high-restriction context, data replication between regions ensured smooth failover without constant snapshots. For added security, I even took data snapshots to another cloud. Choosing MongoDB Atlas depends on your specific SLA and disaster recovery needs.
How has it helped my organization?
What is most valuable?
The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering. This is crucial for handling diverse requirements and integrations with different configurations. The flexibility to support various deployments, whether on AWS, Azure, or GCP, by easily adding additional clusters, has been another significant advantage.
What needs improvement?
There is room for improvement in the cost of certain features like encryption. The web console isn't very intuitive, especially for large data. The new feature, Cube, for BI needs better documentation, and more workshops or videos would be helpful for users and developers. Additionally, real-time performance monitoring in MongoDB Atlas needs improvement.
For how long have I used the solution?
I have been working with MongoDB Atlas for about two months, but my company has been using it for a couple of years.
What do I think about the stability of the solution?
MongoDB is quite stable.
How are customer service and support?
The technical support is very good. I would rate it as an eight out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I have worked with MySQL and PostgreSQL. MongoDB stands out for managing JSON and document types most efficiently. While other databases support JSON fields, MongoDB offers the best solution for handling JSON data.
How was the initial setup?
The deployment was quite straightforward and it only took about half a day.
Maintenance is generally manageable with MongoDB, but it becomes challenging when facing issues or disasters. The profiler and logs are not very user-friendly which makes it harder to identify and resolve problems quickly.
What was our ROI?
The ROI with MongoDB Atlas depends on how well you manage your data and throughput. It is crucial to understand your data and use their tools effectively. Mismanagement can lead to higher costs, especially with scaling, so careful monitoring is essential.
What's my experience with pricing, setup cost, and licensing?
I don't have any concerns about MongoDB Atlas pricing and licensing.
What other advice do I have?
MongoDB's default encryption provides a baseline for data protection. The flexibility to let customers manage their encryption keys enhances security.
MongoDB Atlas supports our organization's implementation of microservices architecture by seamlessly fitting into our domain-driven design. While we primarily use domain-driven design rather than microservices, MongoDB Atlas offers flexibility and scalability to meet various requirements. It easily accommodates diverse data structures and events related to our customers, allowing for efficient and straightforward implementation.
Overall, I would rate MongoDB Atlas as a seven out of ten.
My advice to new users is to design your schema thoughtfully, considering MongoDB's document limitations. Utilize profiling and set up alerts for scaling issues. Understand how to query efficiently and focus on proper indexing for improved performance.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-02-07T00:00:00-05:00
Rated 5 out of
5 by
NikolayBachvarov from
Offers performance, maintenance, and simplifies things by automating previously manual tasks
What is our primary use case?
We use it in a cloud setup on Google Cloud Platform as part of a microservices-based cloud solution. These microservices communicate with messages, and one use case for MongoDB is storing specific messages we're interested in.
How has it helped my organization?
MongoDB has supported our organization's need for scalable and flexible data storage.
We use it internally, where different teams manage different microservices. Sometimes, internal incidents arise, requiring teams to dedicate personnel to resolve and communicate with other teams.
With MongoDB, other teams can now access some of our data and investigate issues on their own, freeing up personnel for other tasks.
Moreover, this solution simplifies real-time data analytics or application development for our business.
It simplifies things by automating previously manual tasks. It acts as a self-service portal for our team, reducing manual work and enabling automation.
What is most valuable?
We're happy with the performance, maintenance, and especially the ease of use within Google Cloud.
Given our microservices architecture, it's like a large puzzle, and MongoDB feels like it fills the gaps we were facing. So, the global clusters feature has enhanced our application performance and user experience.
It helps us optimize team performance, which is valuable.
What needs improvement?
The initial configuration could be a bit easier.
For how long have I used the solution?
I have been using this solution for a couple of years.
What do I think about the stability of the solution?
We've experienced some issues, but most MongoDB issues are resolved quickly. The issues we face are mainly with other systems.
So, it is a stable solution.
What do I think about the scalability of the solution?
It is a scalable solution because we use quite a lot of data, and it handles it well.
It's a microservice solution, so each microservice runs on several pods, maybe eight. Each pod uses MongoDB and makes its own connections, so multiply by eight, maybe 100, so roughly a thousand users.
These are internal users, so we're fine with the current number.
How are customer service and support?
MongoDB offers free support online, and they seem to be doing a good job overall.
Which solution did I use previously and why did I switch?
We have used other databases as well, including Google Cloud, for the past two years on our current project. My company policy guides such decisions. Overall, the company is happy with MongoDB.
How was the initial setup?
The setup is automated through our partner using Terraform for provisioning, not just for MongoDB but for our whole infrastructure. We manage daily deployments using TerraForm, and MongoDB setup on Google Cloud is very smooth.
The deployment is very quick. For example, microservices using MongoDB start very quickly, possibly within a minute.
We haven't had major issues with deployment or configuration. Maybe initial configuration fine-tuning for performance can be time-consuming, but the initial effort pays off later with reduced maintenance needs.
Expertise in automation and deployment processes is helpful and worth learning within the team.
What about the implementation team?
We do it in-house. It's integrated with Google Cloud, GitHub, and GitLab actions. Everything is cloud-based and easy to work with. It's been continually improving over the years.
We don't use external consultants, as we have in-house expertise. It's a 100% cloud solution.
We don't have engineers dedicated to maintenance. It's part of our continuous integration and delivery environment, so there's not much manual intervention needed. Issues usually arise when deploying incorrectly and rolling back, but deployment itself is straightforward.
What was our ROI?
In some teams, companies, and projects, there might be two to three people dedicated to everything, which is a lot. If these skills to analyze productivity or cost saving can be automated, these people can teach others and do more valuable work. It's all win-win.
What's my experience with pricing, setup cost, and licensing?
The price is cheap enough. It is comparable and has average pricing. We have a long-term license.
The pricing is acceptable for enterprise tier.
What other advice do I have?
We haven't faced any major issues so I would rate this solution a nine out of ten.
In this project, it's more integrated than previous ones. The level of integration, automation, and evolution is impressive when used well. It's flawless, straightforward, and hassle-free.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Google
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-02-12T00:00:00-05:00
Rated 5 out of
5 by
Saman Raf from
Stores large amounts of unstructured data and has an easy setup process
What is our primary use case?
We use MongoDB Atlas to store the data of our users.
What is most valuable?
The product allows us to easily set up and store large amounts of unstructured data.
What needs improvement?
The product's data aggregation feature needs to work faster.
For how long have I used the solution?
We have been using MongoDB Atlas for one year.
What do I think about the stability of the solution?
I rate the product's stability a nine out of ten. It is a good feature that is rarely seen in other relational databases.
What do I think about the scalability of the solution?
I rate the platform's scalability a nine out of ten.
How was the initial setup?
The initial setup process is easy.
What's my experience with pricing, setup cost, and licensing?
It is an open-source platform.
What other advice do I have?
If you have unstructured data in large amounts, MongoDB Atlas is a good product to opt for. It distributes the data on servers and gives quick access to it.
I rate it a nine out of ten.
Which deployment model are you using for this solution?
On-premises
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2023-10-01T00:00:00-04:00
Rated 5 out of
5 by
Bhaskar N Subramanian from
Easy to use, flexible to changes, and performs well
What is our primary use case?
The application we are working on is built on MongoDB.
What is most valuable?
MongoDB is a NoSQL tool. We can easily add fields. It provides more flexibility to store data. It is flexible to changes. I have not encountered any performance issues.
What needs improvement?
Searching and browsing through the collection must be made easier.
For how long have I used the solution?
I have been using the solution for two years.
What do I think about the stability of the solution?
The product has been stable so far.
How was the initial setup?
The installation was easy. The deployment took an hour. One person is enough to deploy the tool. It does not require much maintenance.
What's my experience with pricing, setup cost, and licensing?
I am using the free version of the solution.
Which other solutions did I evaluate?
I have used DynamoDB before. MongoDB’s free version is quite good for our use cases. DynamoDB is expensive.
What other advice do I have?
MongoDB is a very good tool for first-time users. Overall, I rate the solution an eight out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-06-15T00:00:00-04:00
Rated 5 out of
5 by
Shivam_Tiwari from
A stable solution with Autoscaling feature with easy setup
What is our primary use case?
We restore our golden data from various sources and then push it to MongoDB. We make our CDP from MongoDB, which serves as a device-centric system.
What is most valuable?
There is a built-in feature called Autoscaling In MongoDB Atlas. This feature automatically adjusts the configuration of MongoDB based on the volume of users we ingest daily. Autoscaling dynamically scales the resources to accommodate the load when our data flow increases.
What needs improvement?
The real-time data visible within MongoDB Atlas is not accurate. If they can improve the UI that monitors real-time data. It's more impressive and more attractive. It could be more user-friendly.
For how long have I used the solution?
I have been using MongoDB Atlas for two years.
What do I think about the stability of the solution?
The product is pretty stable.
What do I think about the scalability of the solution?
The solution is scalable. Autoscaling supports it.
50 users are using this solution
How are customer service and support?
Whenever we have doubts during configuration, we reach out for assistance. We must upgrade certain parameters in our MongoDB setup, prompting us to contact their support team. They resolve such issues within four to five hours.
How was the initial setup?
The initial setup is not very complex. It is easy to use. It's easy to deploy on MongoDB. We push from GitHub. From there, we specify where the data is restored in MongoDB. We continue to connect. It puts the data and delivers it to Argo City.
What's my experience with pricing, setup cost, and licensing?
The product has a yearly subscription.
What other advice do I have?
We have assigned DevOps for security.
The overview and monitoring part will address this issue, and then we will use it to observe any increasing traffic on our website. We also monitor the rising number of connections due to this traffic. It's quite easy to oversee everything in one place. However, the UI isn't particularly user-friendly.
I've also used it in my previous company and found it handy and easy to configure, including easy capabilities.
We are establishing SLAs that are directly tied to MongoDB. All are interconnected with MongoDB. If MongoDB experiences downtime or RAM or CPU usage spikes significantly, users may encounter difficulties logging in. This reliance on MongoDB can pose challenges for user accessibility, particularly when considering the conferencing tools we use.
Overall, I rate the solution an eight out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-03-25T00:00:00-04:00
Rated 5 out of
5 by
LijomonJose from
Offers other benefits like high performance, document-oriented storage, and flexibility in data modeling
What is our primary use case?
We use an application called Fully Factory in the Indian stock market. It works by setting price ranges for stocks. For example, if the Bank of India stock sells between 800 and 810 rupees, you set a range of 800 to 850 rupees. The system prioritizes buyers with the lowest price and highest quantity.
MongoDB's "find first" function quickly locates and blocks the remote and quantity. The client's amount is shown in the record, and then it's processed. We take around 500 records, and the first 100 are processed in a batch. This gets executed and recorded. Developers handle tasks like JP, AR, and AP separately. We update the client's inventory and pass it to a third party. In Microsoft, we use the same client cover to determine the quantity and product details. This is then executed in their API Acondra server system.
So, MongoDB Atlas is used in stock market applications to handle large-scale data processing.
What is most valuable?
For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual.
Spring Cloud ensures I have this set with Atlas, and Spring Security is entering the security for me. That's why I feel Spring Security is much better. Even if you expose a public method, it will be exposed via an authentication token.
If you're putting a direct authentication case authentication with their sync of Google token, just put a sync token directly. It will automatically type your method. Even if you expose a public method, it will be exposed via authentication token. Unmasked analytics, you have PeerSpot on or authentication token. It won't get executed.
What needs improvement?
It's better to use the predicate in Java side to sort. If you are trying to sort in MongoDB, the comparator of Sandal will be discussed. It can be sorted, but if you can do the competitor in Java, sorting using predicates (filtering conditions) and all, it'll be faster. That is what I noticed. For conditioning sorting in MongoDB might be slower, but I haven't verified that. I am doing sorting using predicate in Java.
Another concern:
When I use RoboMongo with MongoDB, it gets delayed and slower when the records are more than one billion. If the records are more than one billion, the document page will see it's all documents. If you have more than a thousand series in your system, it will be difficult to scroll down and get the reserve the directory. I think if they can have some horizontal way of displaying the reports, they can't be answered, but I'm not sure. The tool is providing protected. However, in RoboMongo, it is tough to see that, of course. It's better at one thousand or four thousand since in a single row.
For how long have I used the solution?
I have experience with this product. I've used MongoDB intermittently since around 2020. It's a deep system. You need to find the data, and sometimes use queries. There's a conversion tool that helps transform static queries into MongoDB 3 format.
What do I think about the stability of the solution?
In RDBMS, we have an option to put triggers and functions in the database. In MySQL, you have an option to put a function as well as a trigger, but I haven't found that option in MongoDB. I can create functions, but I am not able to create a function trigger there. We have to create, get, update, and delete, which I can do in MySQL and SQL Server also. But in the same way, you can perform in MongoDB. That is the only thing I noticed.
Other than that, the query that is performing, creating, updating, and deleting everything can be made possible in MongoDB. You cannot create only that trigger in MongoDB. I haven't found anywhere to create that trigger.
Without triggers, you can't automatically execute actions in response to data changes in MongoDB.
That is the only drawback that I find with MongoDB: creating the trigger. Apart from that, I think everything can be possible. We can put function software into the database, and you can execute the review. But when creating the triggers, you need to perform separate functions for that.
What do I think about the scalability of the solution?
Scalability in MongoDB always depends upon the configuration. We can configure it accordingly, but it is definitely essential.
Your hardware system should also ensure the number of resources your application is consuming. For example, in my application, if the unit is more than 400 kits. In a point of time, it will get executed.
I tested that using JMeter. When I'm doing the amenity services, I always put the 500 resource at a time. At a single point of time, 500 resources will get in that 5, so I just find any issues on that. The client also has not had any issues.
When we are doing any of the microservices, we need to ensure using JMeter. Via JMeter, you can ensure, like, how much on the port of ten, how much in the source can be accessible.
How was the initial setup?
It's a one-click install. Maybe, like, two settings. If you already have MongoDB, five to ten minutes is regarding some MongoDB. The only thing that you should know is the port number and the IP address if you're exposing your application to a third party. I think if you're aware of those risks, you can install it immediately. It's easy if you need to collect that data. You might know five to ten minutes.
We can install the remote engineer system. I don't think it will be a bigger task, but even if you're configuring for multiple people, you just need to add that particular port number in your system. Otherwise, it won't allow you to log in.
Even if you're using Microsoft authentication, we normally have multiple layers of authentication. So use the command password, and then you will get the notifications, whether you are getting log-in or not. That will take some time.
Maintenance:
For getting queries only, we put a Java set. From the development perspective, once the database is set up and you configure the URLs, everything works fine. You have 192.138.1.1 URL, it automatically connects to the review if the network is enabled. Then it connects to the review. However, it definitely depends on the bus service we are passing. It should work fine with no issues if the configuration is okay.
That is how we install it. Once we have source, then it's the same network. If it is on the same network, we have a contract, the traffic is there, and the agent works.
If I want to test whether my microservices work fine, I use them again, and they test if my microservices are working fine. Normally, almost all microservices are in a rack server, so you don't get the performance there. I haven't found any issues directly.
What other advice do I have?
If you are looking for a robust system with a lot of security concerns, then you should go for IBM. I'm not saying MongoDB is not 100% secure, but for highly confidential data, I would suggest other solutions.
However, in MongoDB, you can do filing processes and vertical reports. Everything can be done in MongoDB, but the newest is a relationship. You cannot maintain the referential integrity relationship. You can maintain it, but it will be a little tough.
If you want to maintain the relational database in MongoDB, the resource should be at least a minimum of one and a half years highly exposed in MongoDB. Then only we'll be able to manage that data. Even for new joiners, it is a little tough to explain how the relational database is maintained in MongoDB.
Overall, I would rate the solution an eight out of ten.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2024-06-26T00:00:00-04:00