Database · MongoDB
The leading NoSQL document database. MongoDB stores data in flexible JSON-like documents, making it ideal for applications with evolving schemas, real-time analytics, and rapid development.
MongoDB
Compass
Atlas
MongoDB is a NoSQL document database that stores data in flexible, JSON-like documents instead of traditional rows and tables. Created in 2009 by the company now known as MongoDB Inc., it was designed to handle the kinds of unstructured and semi-structured data that relational databases struggle with, from content catalogs to IoT telemetry.
Its document model maps naturally to objects in modern programming languages. A user, an order, or a product can be stored as a single nested document, eliminating the complex joins and ORMs that traditional SQL databases require. This makes development faster and the data easier to evolve over time.
MongoDB also includes built-in sharding for horizontal scaling, replica sets for high availability, and a powerful aggregation pipeline for analytics. With MongoDB Atlas, the company's managed cloud service, teams can deploy globally distributed clusters in minutes without managing infrastructure.
MongoDB Inc. (originally 10gen) in 2009. Open-source under the Server Side Public License, with a commercial enterprise edition and the managed Atlas cloud service.
NoSQL document database. Stores data in BSON (binary JSON) documents inside collections, with flexible schemas that can evolve per document.
Content management, catalogs, real-time analytics, IoT data, mobile backends, and any project with rapidly changing data structures.
Uber, Lyft, eBay, Adobe, Forbes, Electronic Arts, and thousands of modern startups that need flexibility and scale.
We design MongoDB document structures that fit your access patterns, balancing embeds and references for fast reads and simple writes.
Even with flexible schemas, we apply validation rules and conventions so your data stays consistent and predictable at scale.
We build complex data transformations and analytics using MongoDB's aggregation framework, replacing SQL queries with efficient multi-stage pipelines.
We configure sharding, replica sets, and read preferences so your MongoDB cluster scales horizontally as data and traffic grow.
We deploy MongoDB Atlas on AWS, Google Cloud, or Azure, taking advantage of automated backups, scaling, and global distribution.
We migrate between MongoDB and SQL databases, between self-hosted and Atlas, or between versions with full validation and minimal downtime.