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 (pay-as-you-go)
MongoDB, IncExternal reviews
520 reviews
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Cloud database has transformed client demos and supports flexible unstructured data workflows
What is our primary use case?
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working here for more than three years.
What do I think about the stability of the solution?
MongoDB Atlas is stable.
What do I think about the scalability of the solution?
MongoDB Atlas scalability is very good.
How are customer service and support?
I have not reached out to customer support, as I have not encountered any problems, so I have not needed to contact them.
Which solution did I use previously and why did I switch?
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.
How was the initial setup?
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.
Which other solutions did I evaluate?
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.
What other advice do I have?
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.
Effortless Setup, Powerful Data Handling
What do you like best about the product?
I really appreciate MongoDB's ability to support multiple data structures and document-based storage. The partition tolerance and its high availability make it extremely powerful. The integration and setup with our microservices are super easy, and there is really good documentation available to get started with it. MongoDB Atlas cloud database is extremely great, and we're shifting our focus from on-premise hosting to a cloud-hosted database. Also, it's easy to make changes in the schema because of its document-based modeling.
What do you dislike about the product?
Nothing to dislike about MongoDB. Everything works well with this powerful noSQL database.
What problems is the product solving and how is that benefiting you?
MongoDB solves the problem of saving complex data structures with document-based modeling, making schema changes easy. MongoDB Atlas cloud database is excellent, shifting our focus from on-premise to cloud hosted solutions.
Perfect for Developers: Flexible Schemas and Powerful Aggregation
What do you like best about the product?
Basically being as a developer i used it for making my schemas for backend in database and it have advantages of bson type structure which helps me to store the values of realtime type data and it helps me to implement aggregation pipeline as well as use the free tier of database of 512 mb which can be used in mongodb compass
What do you dislike about the product?
Nothing everything is fine just vpc connection is quite harder for new person
What problems is the product solving and how is that benefiting you?
Basically we are having chatting software as well as run time key addtion requirement at that time we have implement it for saving the data of different key as well as json type structure and it gives us benefits on pipeline of that schemas as. well
Highly flexible and scalable database that can be used as general purpose db
What do you like best about the product?
The flexibility of its schema, and the amount of scalability it provides, be it horizontal or vertical. Aggregation & high availability makes it a wonderful choice. Extremely easy to use and integrate with any language, make it the first choice.
What do you dislike about the product?
Duplicity and no native joins are a concern.
What problems is the product solving and how is that benefiting you?
I had integrated ML features in my application, and SQL based databases, were a nightmare, so I switched over. Now, most of my applications are using mongo.
Seamless Managed MongoDB Experience
What do you like best about the product?
Below are the features which i like the most about the db:
1. scalability and performance
2. robust managed service
3. flexible data model
1. scalability and performance
2. robust managed service
3. flexible data model
What do you dislike about the product?
The only things that concern me are the cost of the D,B which can spike with the scale
What problems is the product solving and how is that benefiting you?
Below are the major problems which is being solved by the mongodb
1.flexible data handling
2.high avaialability and scaling
3.Manged operation with atlas like auto backup , monitoring etc
1.flexible data handling
2.high avaialability and scaling
3.Manged operation with atlas like auto backup , monitoring etc
Flexible and Scalable NoSQL Database
What do you like best about the product?
MongoDB’s document-oriented architecture uses JSON-like BSON documents for flexible, schema-less data storage. This allows dynamic adaptation to evolving data structures without rigid schema migrations.
Horizontal scalability via sharding efficiently distributes data across clusters, enabling seamless handling of massive datasets.
The aggregation framework supports complex data transformations, while built-in geospatial indexing and full-text search expand analytical capabilities.
Transaction support (from v4.0) ensures ACID compliance for multi-document operations.
Horizontal scalability via sharding efficiently distributes data across clusters, enabling seamless handling of massive datasets.
The aggregation framework supports complex data transformations, while built-in geospatial indexing and full-text search expand analytical capabilities.
Transaction support (from v4.0) ensures ACID compliance for multi-document operations.
What do you dislike about the product?
The transition from SQL can involve a steep learning curve, particularly for complex queries and aggregation pipelines.
Storage consumption is higher than relational databases due to denormalized data structures, impacting cost efficiency at scale.
While transactions are supported, performance tuning for complex ACID operations requires meticulous indexing and schema design.
Storage consumption is higher than relational databases due to denormalized data structures, impacting cost efficiency at scale.
While transactions are supported, performance tuning for complex ACID operations requires meticulous indexing and schema design.
What problems is the product solving and how is that benefiting you?
MongoDB eliminated rigid schema constraints, allowing our team to rapidly prototype and iterate applications with unstructured data. It streamlined handling high-velocity data streams in IoT projects, avoiding costly schema redesigns during development cycles. The scalability features supported our transition from prototype to production without operational bottlenecks, directly accelerating time-to-market for new features
Secure and Familiar Database
What do you like best about the product?
MongoDB excels with its flexible document model, which allows for dynamic schema design—making it perfect for fast-paced development cycles and agile teams. Its JSON-like BSON storage format aligns well with modern JavaScript-based stacks like MERN, ensuring smooth data handling from front end to backend. The built-in horizontal scaling, support for geospatial queries, and full-text search are game-changers in terms of versatility.
What do you dislike about the product?
While MongoDB is powerful, it does have some drawbacks. It can consume significantly more storage than traditional relational databases due to its denormalized document structure. For applications with complex relationships, performance tuning requires careful indexing and schema design.
What problems is the product solving and how is that benefiting you?
MongoDB helps us handle flexible and fast-changing data without worrying about strict schemas. It’s great for building apps quickly, especially when data structures vary. We’ve saved time and avoided complex migrations, and with MongoDB Atlas, scaling and managing the database is super simple.
Amazing DB
I recently had the opportunity to work with MongoDB Atlas on AWS, and I must say, the experience has been nothing short of impressive. Bringing together the power of MongoDB's flexible, scalable NoSQL database with the robust infrastructure and services of AWS creates a seamless, high-performance environment for managing data-intensive applications.
Performance optimization is another key advantage. With features like auto-scaling, performance monitoring, and workload isolation, MongoDB Atlas on AWS eliminates much of the operational overhead, allowing developers to focus on building applications rather than managing infrastructure. Additionally, the automated backups and failover mechanisms provide peace of mind, ensuring that critical data is always protected.
MongoDB review
What do you like best about the product?
MongoDB's flexibility and scalability are standout features. Its document-oriented model (using BSON) allows for dynamic, schema-less data structures, making it super versatile for evolving applications. This is especially helpful when dealing with unstructured or semi-structured data.
I also appreciate its horizontal scaling capabilities through sharding, which makes it suitable for handling large datasets and high-throughput applications. Features like indexing, aggregation pipelines, and replica sets for high availability are excellent for both performance and reliability.
For developers, tools like MongoDB Atlas (its cloud platform) simplify deployment and monitoring, saving tons of time.
I also appreciate its horizontal scaling capabilities through sharding, which makes it suitable for handling large datasets and high-throughput applications. Features like indexing, aggregation pipelines, and replica sets for high availability are excellent for both performance and reliability.
For developers, tools like MongoDB Atlas (its cloud platform) simplify deployment and monitoring, saving tons of time.
What do you dislike about the product?
write amplification and potential performance issues under high write loads if not tuned properly. Its flexibility can also be a double-edged sword; having no enforced schema can lead to messy data structures if developers aren't disciplined.
What problems is the product solving and how is that benefiting you?
storing and querying time series data
Amazing product!
I recently got a chance to to work with MongoDB Atlas on AWS.
It's a great option to bring these two power houses together and leverage the best of both of them.
I cannot recommend this product more!
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