MongoDB Atlas Enterprise

MongoDB Atlas serves as our primary database for storing data. We utilize MongoDB Atlas as our main database solution, which provides us with free space to work with and some MB of free storage. When working with Express.js code as our backend, storing data in JSON format is not required, unlike the problem encountered with SQL. Once we require unstructured data, that is what we use MongoDB Atlas for, and it also frees up some of the memory and storage, so it works very well for our use cases. MongoDB Atlas has free storage that allows us to work with the tools and understand them better. I have highlighted several aspects of this solution.

MongoDB Atlas impacts our organization positively as it is our primary source of working, and we work on multiple client projects to demonstrate at least a demo to them. MongoDB Atlas works very well in our organization. When discussing one of the projects on MongoDB Atlas, the UI is very aesthetically pleasing; we do not have to go and deploy some RDS or other solutions. The cluster is already there; we just have to log in and start working on it. Additionally, there is a simple connection string that allows us to manage security as well. MongoDB Atlas UI facilitates managing security, and there is IP address tracking available, which we can specify. It is separate from others, and I would say the scalability is also very good—the ability to scale the database directly is excellent and does not require server adjustments.

During my development phase, this is very good and easy to understand, which is beneficial if anyone new comes on board.

The best feature I would say is that there is free storage, which any NoSQL database provides, such as MongoDB Atlas. Apart from that, there is a very good MongoDB Atlas UI where we can see the cluster, databases, and all these features. When we are using it, the transactions go for real-time processing. These are the features that it offers us, and the connection is very good to any framework we are using in the backend.

MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas. The UI is very good for Atlas, and the non-structured database is advantageous because we do not have required schema restrictions. The cluster management and the database handling of Atlas are very good. By using the UI, we can manage this efficiently, and these are the features on MongoDB Atlas that give us what we need.

I do not find any necessary improvements for MongoDB Atlas; it is already good at handling tasks, and we have a local compass as well. There is no disturbance with MongoDB Atlas; it operates well. The UI is good, although I have checked one aspect in MongoDB Atlas: when we make transactions, they do not process in real-time and require a refresh. I attribute this delay to a minor browser issue, but overall, the compass is already integrated, so I do not see any improvements needed.

I have been working here for more than three years.

MongoDB Atlas is stable.

MongoDB Atlas scalability is very good.

I have not reached out to customer support, as I have not encountered any problems, so I have not needed to contact them.

I have previously used multiple SQL databases, and I encountered problems in the deployment phase, which often required purchasing services such as RDS or others to deploy SQL databases, leading to additional costs. MongoDB Atlas defines a GUI aspect and database storage advantage.

My experience with pricing, setup cost, and licensing is that the pricing is very good, and the setup is very good as well. Licensing for the basic version is free, which is a benefit, although the pricing increases significantly when we use many features. We can also mitigate costs a little by sharing and scaling; these aspects are good in MongoDB Atlas.

I evaluated other options before choosing MongoDB Atlas, primarily focusing on SQL databases, and I encountered deployment problems with them, particularly regarding the necessity to purchase services for RDS. MongoDB Atlas resolved these issues.

I would advise others looking into using MongoDB Atlas to note that it is very cost-efficient, and I suggest trying it ourselves. Whitelisting APIs and IPs is a straightforward process, and these are features of MongoDB Atlas worth exploring. MongoDB Atlas is deployed as its own cloud solution, and there is no SS deployment; it is already clustered within MongoDB Atlas. In our organization, I would say it operates in a private cloud setup. I give this product a review rating of ten out of ten.

I still have recent experience with MongoDB Atlas as I have a contact with a representative for Brazil.

Azure and OCI are what we use as our main cloud providers.

I have hands-on experience with OCI, although I don't have a cloud for MongoDB Atlas; I have a cloud for databases and DevOps.

I don't develop directly with only MongoDB Atlas. However, I know the organization has a license with the product.

It's a very elastic solution for the purposes of our systems and the developers appreciate it for software development.

MongoDB Atlas's encryption capabilities help ensure data confidentiality and integrity.

I believe the software has performed well for us regarding data confidentiality and integrity.

I would say pricing is an area where MongoDB Atlas could improve.

I don't have extensive experience with Linux products since it's not my area in my organization.

I believe the support is very good because I don't have a problem with the availability of the software.

I am aware of the horizontal scaling capability.

I would be willing to provide a review for one of the Oracle solutions or other solutions such as Linux as we have a Linux server, X8H56. OCI is the server name I remember, it's OCP.

Our main cloud provider is Azure, not AWS.

We have MongoDB Atlas; MongoDB Atlas is what we use.

I have tried to use Coherence, but it was a bad experience for us.

I didn't purchase MongoDB Atlas through AWS Marketplace; I only have a MongoDB Atlas license, not AWS.

I have no idea about the pricing or setup cost with MongoDB Atlas.

I find it easy to use.

I think it's a good product.

I have no idea about the pricing or setup cost with MongoDB Atlas.

We have MongoDB Atlas; MongoDB Atlas is what we use.

I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure.

As a user, I deal with the Oracle Database.

I know the organization has a license with the product.

We don't utilize real-time analytics with MongoDB Atlas.

I don't use MongoDB Atlas directly, so I don't know how it can be improved.

I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.

I used MongoDB Atlas for structured data storage as part of an application service provided to one of our customers. The application was based on MongoDB and Atlas. While Google Cloud SQL was used for consulting, I interacted with Google Cloud but was not the final decision maker.

From an operational point of view, there were no costs associated with maintaining the database on my side, and service costs were acceptable from both my side and the customer’s perspective.

I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies.

MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.

I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.

I have been using MongoDB Atlas since 2017 and Google Cloud Platform since 2018.

There are no issues mentioned regarding stability. I evaluated MongoDB Atlas as not the best solution for the application in the long term, specifically when the services consolidate themselves.

MongoDB Atlas scales well and supports data growth effectively.

The technical support is very good. I have used them sometimes, even recently, and found the feedback to be spot on our needs.

The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale down when needed.

I highly recommend MongoDB Atlas for both smaller and larger companies.

It is rated an eight out of ten, depending on the use case. As a document-based database, it is one of the better products on the market.