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Built by developers, for developers. The document data model maps to how you think and code. Break out of rigid, tabular data structures with flexible documents that map directly to objects in your code. Embed related data into a single document to increase performance and minimize computational cost. Learn the MongoDB basics.
MongoDB Community Server Download. The Community version of our distributed database offers a flexible document data model along with support for ad-hoc queries, secondary indexing, and real-time aggregations to provide powerful ways to access and analyze your data. The database is also offered as a fully-managed service with MongoDB Atlas.
Through a programming language, API, or an IDE (i.e., VS Code extension, Python mongodb driver, node.js mongodb driver, Java mongodb driver). For explanatory tasks, it is a good idea to work with the MongoDB Atlas web UI, but if your intentions are to automate document loads onto MongoDB, then switching to a programming language is going to be a better option since it will give you greater control.
MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use. MongoDB is free to use. Versions released prior to October 16, 2018 are published under the AGPL. All versions released after October 16, 2018, including patch fixes for prior versions, are published ...
Welcome to the official MongoDB Documentation. Whether you're a developer, database administrator, or just starting your journey with MongoDB, our documentation provides you with the information and knowledge needed to build applications on MongoDB and the Atlas developer data platform.
Horizontal Scalability. MongoDB provides horizontal scalability as part of its core functionality: Sharding distributes data across a cluster of machines. Starting in 3.4, MongoDB supports creating zones of data based on the shard key. In a balanced cluster, MongoDB directs reads and writes covered by a zone only to those shards inside the zone.
Perform CRUD operations in the MongoDB Atlas UI or by using the MongoDB Query API - with or without transactions. To learn more, see Create, View, Update, and Delete Documents in the MongoDB Atlas documentation and MongoDB CRUD Operations in the MongoDB manual.
Work with data as code for any use case. Our unified query API is the most natural way to work with data in any form. Atlas extends MongoDB's flexibility and ease of use to building full-text search, real-time analytics, and event-driven experiences. Build a wide range of application services while keeping your data architecture simple.
The GUI for MongoDB. Compass is a free interactive tool for querying, optimizing, and analyzing your MongoDB data. Get key insights, drag and drop to build pipelines, and more. Easily work with your data in Compass, the GUI built by — and for — MongoDB. Compass provides everything from schema analysis to index optimization to aggregation ...
MongoDB offers a flexible framework for creating data processing pipelines called aggregation pipelines. It features dozens of stages and over 150 operators and expressions, enabling you to process, transform, and analyze data of any structure at scale. One recent addition is the Union stage, which flexibly aggregates results from multiple ...
