


The document model is mapped to the objects in your application code to simplify data processing.

Ad hoc queries, indexing, and real-time aggregation provide powerful ways to access and analyze your data.MongoDB is a distributed database at its core, so horizontal scaling and geographical distribution are integrated and easy to use.The Difference between MongoDB and SQL databases MongoDB offers both a Community and an Enterprise version of the database:.MongoDB Community is the free-to-use edition of MongoDB.MongoDB Enterprise is available as part of the MongoDB Enterprise Advanced subscription and includes comprehensive support for your MongoDB deployment.High availability through integrated replication and failover: MongoDB Enterprise also adds enterprise-focused features such as on-disk encryption, and auditing.Horizontal scalability with native sharding.Native document validation and schema examination with Compass.Management tools for automation, monitoring, and backup.Fully elastic database as a service with built-in best practices.Rich Query Language MongoDB query language is the way we communicate with MongoDB Data. MongoDB Concepts (Collections and Documents) From queries to updates, pipelines to batch jobs, everything keeps getting more powerful over time. MongoDB stores data records as documents (specifically BSON documents) which are gathered together in collections. A database stores one or more collections of documents.
