MongoDB Atlas vs MongoDB Compass: What are the differences?
Developers describe MongoDB Atlas as "Deploy and scale a MongoDB cluster in the cloud with just a few clicks". MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud. On the other hand, MongoDB Compass is detailed as "A GUI for MongoDB". Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.
MongoDB Atlas belongs to "MongoDB Hosting" category of the tech stack, while MongoDB Compass can be primarily classified under "Database Tools".
Some of the features offered by MongoDB Atlas are:
- Global clusters for world-class applications. Support for 60+ cloud regions across AWS, Azure, & GCP.
- Secure for sensitive data. Built-in security controls and features to meet your existing protocols and compliance standards.
- Designed for developer productivity. Integrated tools to manipulate, visualize, and analyze your data. Execute code in real time in response to data changes.
On the other hand, MongoDB Compass provides the following key features:
- built-in schema visualization
- immediate insight into server status and query performance
- View utilization and manage your indexes
According to the StackShare community, MongoDB Atlas has a broader approval, being mentioned in 69 company stacks & 164 developers stacks; compared to MongoDB Compass, which is listed in 4 company stacks and 10 developer stacks.
What is MongoDB Atlas?
What is MongoDB Compass?
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We went with MongoDB , almost by mistake. I had never used it before, but I knew I wanted the *EAN part of the MEAN stack, so why not go all in. I come from a background of SQL (first MySQL , then PostgreSQL ), so I definitely abused Mongo at first... by trying to turn it into something more relational than it should be. But hey, data is supposed to be relational, so there wasn't really any way to get around that.
There's a lot I love about MongoDB, and a lot I hate. I still don't know if we made the right decision. We've been able to build much quicker, but we also have had some growing pains. We host our databases on MongoDB Atlas , and I can't say enough good things about it. We had tried MongoLab and Compose before it, and with MongoDB Atlas I finally feel like things are in a good place. I don't know if I'd use it for a one-off small project, but for a large product Atlas has given us a ton more control, stability and trust.
When creating small proofs of concept or personal projects with document data models, that require a lot of data storage but don't warrant paying for hosting, I use Atlas because of the 500 MB free tier and ease of setup.
Often paired with AWS Lambda or Google Cloud Functions.
Server application hosted on OpenShift is connecting to MongoDB Atlas to perform database operations.