MongoDB Atlas Reviews

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 MongoDB Atlas to manage transactions and tenant payments for our application.

The product provides quick transaction service, high availability, and efficient scalability features.

The product's file storage documentation needs improvement.

We have been using MongoDB Atlas for five years.

It is a stable platform. I rate its stability a nine out of ten.

I rate the product's scalability a nine out of ten.

We are using MySQL at the same time.

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.

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.

I use MongoDB Atlas to take care of my company's clients who are in industries like healthcare systems, finance, and other such areas.

The solution is valuable since it works as an unstructured database.

I would like the solution to offer more integration capabilities since it is an area where the solution lacks.

I have been using MongoDB Atlas for a few months.

It is a stable solution. Stability-wise, I rate the solution a seven out of ten.

It is a scalable solution.

Around 30,000 to 40,000 of my company's customers use MongoDB Atlas.

I was not involved much with the technical support offered by MongoDB.

The initial setup of MongoDB Atlas is straightforward unless you don't have to deal with any database-related stuff.

I completed the setup phase of the solution in a week since I have a background in handling databases.

For the deployment phase of the solution to be successful, one needs to have a bit of cloud-based knowledge.

I did not get into the solution's licensing costs since that is taken care of by the customers who want to use the product.

I recommend the solution to those who plan to use it.

I rate the overall solution an eight out of ten.

MongoDB Atlas can be used to store data, migrate data from SQL to NoSQL, and collect data from websites.

Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas.

MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model.

I have been using MongoDB Atlas for two to four years.

I rate MongoDB Atlas a nine out of ten for stability.

I rate MongoDB Atlas ten out of ten for scalability.

MongoDB Atlas’ initial setup was straightforward.

We use Terraform to deploy MongoDB Atlas. The deployment is easy if you have the code, and can be done within five minutes.

MongoDB Atlas has a good partnership with AWS, and there is no hassle in integrating the solution with any tool. I recommend users go ahead with MongoDB Atlas if they prefer to have NoSQL in their organization.

Overall, I rate MongoDB Atlas ten 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.

The primary use case was as a data layer of a low code/no code automation platform.

It provided us with independence from specific cloud provider services giving us a high level of consistency.

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. 

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.

I've been using the solution over a year.

Aside from the one-time issue we had with one cluster in our early stage, the solution shows to be highly reliable.

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.

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.

Positive

We went from MongoDB Enterprise to Atlas. We've used enterprise and community versions before going to Atlas.

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.

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.

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.

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. 

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.

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.

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.

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.

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.

It is a very stable solution.

MongoDB Atlas is scalable and it offers several features for a DB as a service.

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.

The initial setup was very easy. We didn’t need any expert to set up the solution.

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.

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.

It has a fair price.

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.

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.