MongoDB's simplicity is amazing. You can store data how you like, amend it as per your preferences, and implement the changes as you want to. Review collected by and hosted on G2.com.

Only one thing, the collections are not updated automatically. Review collected by and hosted on G2.com.

It provide very faster way to create project database.Here we can create clustures and connect database to our project.It provide device sync,data fedration and stream processing services.User can create collection and many more functionalities are there to make your project faster. Review collected by and hosted on G2.com.

I always use this for my projects and i dont have anything to dislike about it. Review collected by and hosted on G2.com.

It provides 512 mb of fast storage for storing data . It is a no SQL so no need to worry about injection . Have a great community support because of mongobd . Easily integrable with js ,prisma ,python ,ts and other languages Review collected by and hosted on G2.com.

The thing I hate about mongobd atlas is difficulty to scale it up and require tremendous work to do it . There are some downtime for free tier. Review collected by and hosted on G2.com.

MongoDB Atlas has made managing our databases a breeze. It's user-friendly, scalable, and fully managed. We love:

Effortless Setup: Quick and easy start, even for newcomers.

Seamless Scalability: Scaling with demand is a cinch.

Fully Managed: No worries about maintenance tasks.

Global Performance: Multi-region deployment for low latency.

Strong Security: Encryption, isolation, and access controls.

Automated Backups: Daily backups for data safety.

Robust Monitoring: Monitoring tools keep us informed.

Integration-Ready: Works well with other platforms.

Community & Support: Helpful community and support options.

Flexible Data Model: Ideal for varied data structures. Review collected by and hosted on G2.com.

Certainly, here's a concise summary of what I find less favorable about MongoDB Atlas as a user:

Pricing Complexity: Understanding and predicting costs can be challenging.

Learning Curve: Adapting to the NoSQL model can take time, especially for users from a relational database background.

No Built-In Full-Text Search: Lack of native full-text search can require custom solutions.

Complex Schemas: Flexibility can lead to complex data structures.

Limited Transactions: MongoDB may not be as transactionally robust as traditional databases.

Community vs. Enterprise Features: Some advanced features are only available in enterprise versions.

These considerations are essential when evaluating MongoDB Atlas for your project. Review collected by and hosted on G2.com.

We can able to find the highest loaded query from our server. Also, we can check the alert when the query takes a long time to retrieve the data. Last time we migrated our database from Digital Ocean because of performance as of now we are not facing any performance issues in MongoDB Atlas. Review collected by and hosted on G2.com.

The cost is a little bit high. If the data loads a lot that time cost is added depending on usage. But it's an acceptable one. So It's not a problem. Review collected by and hosted on G2.com.

MongoDB Atlas is a cloud database service provided by MongoDB. It allows users to deploy, operate, and scale MongoDB databases in the cloud. Integrates with local machine used MongoDB Compass for GUI-based database etc. Review collected by and hosted on G2.com.

MongoDB Atlas provide over service with costs. that can escalate based on factors such as data storage, network usage, and additional features. Review collected by and hosted on G2.com.

Easy to set up, very cost-effective, with excellent performance. It has a built-in backup with an option for point-in-time recovery. Another super important feature is connecting from our AWS service using a VPN. Overall, it is a very good, managed service, packed with features for novices and experts alike. Review collected by and hosted on G2.com.

The only downside I could find is that to use the Atlas API you need to access the API from a fixed, pre-defined IP, which is not very useful for many cases. But they keep on improving the platform so it might change in the future. Review collected by and hosted on G2.com.

MongoDB has been my go-to NOSQL database for years in my daily usage. It has a lot of very good feature sets combined while not being complicated to use. It has a very good community and can be integrated with all tools, frameworks, and languages with ease. There is Mongoose which further makes its implementation very swift. It is a fast, versatile, well-maintained service. Review collected by and hosted on G2.com.

In my everyday use of MongoDB the only thing I find lacking is its ability to connect data. It's no relational sql database but querying should be made easier for users. In recent times it has moved more company-centric but that's fine as it has a very good self-hosting option. Review collected by and hosted on G2.com.

It's easy navigation and URI based string to connect easily with db from the Project and easy implementation and the on chat and call support for the enterprise tier you can multiple dbs clusters and integrations with multiple set of project languages and many users are frequent users of this Review collected by and hosted on G2.com.

Sometimes the downtime happens that makes it vulnerable to use the cloud based servcies for the Database. which can effect its frequency with the active users. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.