![]() ![]() ![]() View utilization and manage your indexesĪccording 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.immediate insight into server status and query performance.On the other hand, MongoDB Compass provides the following key features: Execute code in real time in response to data changes. Integrated tools to manipulate, visualize, and analyze your data. Built-in security controls and features to meet your existing protocols and compliance standards. Login to your container by using container names. Type docker container ls to see our running container. Open another terminal to login to the container. Support for 60+ cloud regions across AWS, Azure, & GCP. Now run the docker-compose file with docker-compose up or docker-compose up -d to run containers in the background. Global clusters for world-class applications. ![]() Some of the features offered by MongoDB Atlas are: MongoDB Atlas belongs to "MongoDB Hosting" category of the tech stack, while MongoDB Compass can be primarily classified under "Database Tools". View and optimize your query performance. Interact with your data with full CRUD functionality. On the other hand, MongoDB Compass is detailed as " A GUI for MongoDB". Installed Mongo Compass Installed HomeBrew Installing only the Shell or the Database Tools: Execute: brew tap mongodb/brew Execute: brew install mongosh (Mongo Shell) Execute: brew install mongodb-database-tools (Database Tools) SETUP Mongo Replica Set (This needs to be run once, after setup one can just use e.g. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud. MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. MongoDB Atlas vs MongoDB Compass: What are the differences?ĭevelopers describe MongoDB Atlas as " Deploy and scale a MongoDB cluster in the cloud with just a few clicks". ![]()
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