MongoDB Atlas Reviews

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.

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.

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.

I have been using it for three years.

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.

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.

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.

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.

The initial setup was super easy. It took 15 minutes to setup.

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.

I manage services and keep them running. The business analyzes the social media data with machine learning, and that data is stored in MongoDB.

Administering the solution is easy.

The administration is not very interactive. Most of the time, you don't need to interact with the database, just create a user and indexes. It's not very friendly for developers.

Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration.

I have been using this solution for almost three years.

It's a stable solution.

I think there are two kinds of support. One of them is local. If there is any trouble, we open the ticket with a local vendor. If they can't solve those problems, they escalate the problem to the level three engineers at MongoDB.

I would rate their technical support 4 out of 5.

I have also used Microsoft SQL databases. There's a distinction between SQL and MongoDB because one of them is based on the schema first. The other is not schema, not permanent, because of ACID compliant databases. The transaction is very important at the SQL, MYSQL, and Postgre databases, so if any transaction fails, it has to roll back because of the schema at most of ACID compliant databases. 

There are 35 million customers that consume those databases, like a POC system. Lots of transactions passing through the system are based on Microsoft SQL. Only semi-structured data – like a document based system like Twitter and social media data – is based on MongoDB.

There are two kinds of setup. One of those setups is sharding, and there is replication. The other setup is hybrid. It's not hard to implement those systems.

Setup is easy. There are only a few commands that you have to execute. First of all, the design is a very important part of it. If you design it based on the best practices, it's easy.

As a database administrator, all those things come around as ready to run. You only need to log in to the server and implement SQL, Mongo, and MySQL databases to implement. It takes only half a day to implement those.

We had a lot of documentation. Most of the time, we couldn't expand those rules, but it's easy to implement. 

We have almost 11 people on the database team.

Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB.

I would rate the price of MongoDB 4 out of 5.

I would rate this solution 10 out of 10.

It's a solid product. A lot of issues have been resolved. It's very sustainable, and it takes minimal effort to solve a problem. It's very easy to deploy.

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.

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.

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.

We've been using MongoDB for three to four years.

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.

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.

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.

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.

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.

The main benefits include cost savings and speed. The application runs fast, and accessing data is quick.

ROI is very good. 

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.

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.

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.

MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases.

One area for enhancement is containerization. They could explore ways to facilitate deploying MongoDB containers within the platform.

I have been using MongoDB Atlas for five years.

I rate the solution’s stability a nine out of ten.

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.

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.

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.

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.

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.

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.

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.

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.

The initial configuration could be a bit easier.

I have been using this solution for a couple of years. 

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. 

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.

MongoDB offers free support online, and they seem to be doing a good job overall.

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.

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.

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.

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.

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.

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.

MongoDB Atlas is a schema-less database.

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.

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.

I have been using MongoDB Atlas for two years.

MongoDB Atlas is a stable solution.

MongoDB Atlas is a scalable solution. Around ten people were working with the solution in my organization.

The solution's initial setup is straightforward.

MongoDB Atlas provides good value for money. MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage.

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.

We work with millions of rows of data and we use MongoDB Atlas for data.

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.

The price of the solution should be reduced.

I have used MongoDB Atlas within the last 12 months.

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.

The scalability of the solution could be made simpler, it can be technical. It can be difficult to create applications and proof of concepts. 

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.

The initial setup of MongoDB Atlas is simple. You create the infrastructure and the solution read the data and organizes it.

For large projects, MongoDB Atlas has proven an ROI.

The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price.

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.

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.

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.

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.        

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

I have been using it for around one year.

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.

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.

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.

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.

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.

I did not evaluate other options. 

I highly recommend every developer use it.