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MongoDB is a general-purpose, NoSQL database that provides support for JSON-styled, document-oriented storage systems. Its flexible data model enables you to store data of any structure, and it provides full index support, sharding, and replication.


Flexible Document Schemas

MongoDB’s document model allows virtually any kind of data structure to be modeled and manipulated easily. MongoDB’s BSON data format, inspired by JSON, allows you to have objects in one collection have different sets of fields.

Code-native data access

MongoDB’s decision to store and represent data in a document format means that you can access it from any language, in data structures that are native to that language (e.g. dictionaries in Python, associative arrays in JavaScript, Maps in Java, etc.

Change friendly design

There’s no downtime required to change schemas, and you can start writing new data to MongoDB at any time, without disrupting its operations.

Powerful querying and analytics

The MongoDB Query Language (MQL) is a full-featured, powerful language that allows you to query deep into documents, and even perform complex analytics pipelines with just a few lines of JSON-like MQL.

Easy horizontal scale-out

MongoDB is designed from the ground up to be a distributed database. Create clusters with real-time replication, and shard large or high-throughput collections across multiple clusters to sustain performance and scaler horizontally.

Cost Effective

Decrease cost - by paying for only the infrastructure assets and resources that you need and use.

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