![]() Furthermore, during development, it is easier to start a Docker instance than manually configure a server. If you want to use your MongoDB database across several machines, using Docker containers for hosting MongoDB is a great approach – you can easily create new isolated instances. For production, you may custom-build a container with MongoDB’s enterprise version. There is an official image available on Docker Hub containing the MongoDB community edition, used in development environments. MongoDB can be run in a Docker container. You can also leave fields empty in situations where a lot of data is missing. You can just input the data, and new fields will be created. NoSQL databases are useful for storing such data. In the real world, much data is unstructured-it doesn’t follow a specific schema. It uses a JSON-like storage model and doesn’t require a predefined database schema. MongoDB is a NoSQL database service with seamless performance and options for scaling. Thanks to Docker’s lightweight runtime and ability to run processes in isolation, multiple containers can run at the same time on the same VM or server. ![]() These containers can be run on any machine, as well as in a public or private cloud. Learn more about Earthly.ĭocker is a powerful development platform that enables users to containerize software. Earthly guarantees reproducible Docker builds for MongoDB. This article examines how MongoDB and Docker work together.
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