When retrieving data from a collection of documents, we can search by field, apply filters and sort results in all the ways we’d expect. MongoDB provides the MongoDB Query Language for performing operations in the database. There’s no need to create a collection and prepare a schema before you add data to it. When you’re trying to create a document in a group that doesn’t exist yet, MongoDB creates it on the fly. Each document is part of a collection - think of a table if you’re coming from a relational paradigm. These fields can have a range of flexible types and can even have other documents as values. MongoDB stores each record as a document with fields.
Developers can build applications more quickly because of this flexibility and also have multiple deployment options, from the cloud MongoDB Atlas offering through to the open-source Community Edition. It enables a more flexible approach to data modeling than traditional SQL databases. MongoDB is one of the most popular databases for modern applications.
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