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.
MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
504 reviews
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External reviews are not included in the AWS star rating for the product.
Offers seamless support for diverse data structures and simplifies compliance
What is our primary use case?
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.
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
Very Good Non-Relational Database
What do you like best about the product?
I mostly liked the easiness of using MongoDB. We don't have to define table structure. We can add a new column in our data time as it is completely based on JSON.
What do you dislike about the product?
I don't have anything to dislike about MongoDB.
What problems is the product solving and how is that benefiting you?
I used MongoDB in a couple of my Java projects. I used it to store user login activity and logs.
Perfect NoSql database for High available Microservieces
What do you like best about the product?
NoSQL yet supports schema
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
What do you dislike about the product?
Lack of analytical stack
Complex sharding operation with manual balancing
Complex sharding operation with manual balancing
What problems is the product solving and how is that benefiting you?
Storing evolving schema database for our SaaS microservices.
MongoDB useful database app
What do you like best about the product?
Able to manage data especially NoSql data.
What do you dislike about the product?
Sometimes it crashes automatically and take a lot of memory.
What problems is the product solving and how is that benefiting you?
Able to manage, analyze and handle data efficiently.
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.
A performant NOSQL database
What do you like best about the product?
Flexible document base data models, easy to use and implement with various languages, large community for questions and tutorials, its query language and reliable in production applications
What do you dislike about the product?
has a learning curve if coming from sql based databases, things like joins, data integrity and schema validation are not available here. usually you know these drawbacks when you choose nosql
What problems is the product solving and how is that benefiting you?
Our main db is in mongo. We have our API service store and fetch our data from this. We have other services query on it for analytics and machine learning.
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.
A Flexible And Scalable No Sql Database
What do you like best about the product?
It is a Highly Flexible and scalable No Sql database that offers fast performance and a rich query language with its document-based data structure it allows for easy handling of complex data models and adapts well to changing business requirements its built in replication and high avilability features ensure data redundancy and fault tolerance. Mongo DB's active community and vast ecosystem make it a popular choice for developers and organization looking for a powerful versatile database solution.
What do you dislike about the product?
while numerous adavantages, does have some potential drawbacks to consider. These include a learning curve for mastering advanced features, the lack of transaction support for complex analytics, and limitations support for complex analytics, and limitations and limitations in the free community edition. It is crucial to carefully assess these factors un relation to your specific needs and use case before deciding if Mongodb is the right database solution for your project.
What problems is the product solving and how is that benefiting you?
It addresses the problem of solving managing. big data and provide a powerful and versatile database solution for businesses.
No SQL Database
What do you like best about the product?
Ease of Use:
If you use Mongodb in any project this is useful for relationships suppose you are creating an e-commerce website it is useful because there is no table-like database it stores only the data you want suppose you are creating an electronic collection so if you are using MongoDB so it contains data in json format and it consumes less space and much faster.
Ease of Implementation :
If you implement this into your project so that JSON format is straightforward to view, read, and write because this is similar to javascript syntax and it consumes less space and is faster and you can store data by creating schema and that relationship is also great and less coding.
Number of Features :
MongoDB provides a few tools:
MongoDB Compass
Mongo Atlas for using Online through MongoURI
Mongo Terminal
Ease of Integration :
If you integrate this into in your project so there is module so you can install that module and you can easily integrate this with your any backend project and anywhere
If you use Mongodb in any project this is useful for relationships suppose you are creating an e-commerce website it is useful because there is no table-like database it stores only the data you want suppose you are creating an electronic collection so if you are using MongoDB so it contains data in json format and it consumes less space and much faster.
Ease of Implementation :
If you implement this into your project so that JSON format is straightforward to view, read, and write because this is similar to javascript syntax and it consumes less space and is faster and you can store data by creating schema and that relationship is also great and less coding.
Number of Features :
MongoDB provides a few tools:
MongoDB Compass
Mongo Atlas for using Online through MongoURI
Mongo Terminal
Ease of Integration :
If you integrate this into in your project so there is module so you can install that module and you can easily integrate this with your any backend project and anywhere
What do you dislike about the product?
So the dislike thing is you can easily store data without creating any schema and there is not default validation if you want to use validation so you have to create additionally but in the MySQL there is default validation no duplicate data will store in database but in the MongoDB there is nothing to validate but if you want to validate something so you have to use required true and so many things.
What problems is the product solving and how is that benefiting you?
For Relationship, we can easily connect so many collections using mongoose.schema.types('collection_name') so this is a very useful MongoDB solving for us.
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