MongoDB Atlas is a scalable developer data platform that simplifies the way you build with data.
MongoDB Atlas is a multi-cloud developer data platform that gives developers the versatility they need to build a wide variety of applications. Power transactional processing, relevance-based search, in-app analytics, and more through an elegant and integrated data architecture. Atlas provides a first-class developer experience through a flexible document data model and unified query interface, while meeting the most demanding requirements for resilience, scale, and data privacy.
At its core, MongoDB is a document database model that stores data in a JSON-like format, mapping directly to objects in application code. From mapping simple key-value pairs to modeling complex relationships, plotting geospatial points to capturing high-volume time-series data, MongoDB can seamlessly adapt as applications evolve.
Rich indexing and a unified query API enable developers to run everything from simple CRUD operations to modular, multi-stage aggregations that power full-text search, in-app analytics, and more. Easily interact with data using a GUI interface, idiomatic language drivers, or secure access over HTTPS.
MongoDB Atlas offers developers the full power of this database alongside integrated data services and best-in-class operations in the form of a developer data platform. It’s available globally in over 90 regions across AWS, Google Cloud, and Azure – including multi-region and multi-cloud deployments that span two or more cloud providers at the same time. It comes with out-of-the-box security, scalability, and high availability, as well as edge-to-cloud sync, database triggers, and embeddable visualizations.
As the first and leading developer data platform, MongoDB Atlas strives to simplify and accelerate the way developers build with data. The document data model empowers developers to design efficient schemas based on data access patterns, allowing builders to rapidly evolve data structures when necessary.
In an ecosystem with limitless options, MongoDB Atlas reduces architectural complexity with a suite of native tooling, eliminating the requirement to build ETL pipelines and bolt on disparate systems to enable full-text search, embedded analytics, device sync, and more.
MongoDB popularized the document data model as a flexible and scalable alternative to relational databases in 2007 and soon became the most loved database by developers. Since inception, millions of developers have downloaded and self-managed MongoDB Community.
MongoDB Atlas was introduced in 2016 as a fully managed cloud database and has since evolved to become a robust developer data platform for building modern applications and microservices. Hundreds of thousands of organizations rely on MongoDB Atlas every day, from processing real-time financial transactions to querying highly sensitive healthcare data. With MongoDB Atlas, engineering teams can focus on launching new features faster without spending time on undifferentiated tasks like managing data infrastructure and pipelines.
Atlas comes with always-on authentication, network isolation, end-to-end encryption, and role-based access controls to keep your data protected.
All database deployments are fault-tolerant and self-healing by default. Deploy MongoDB across multiple regions or multiple cloud providers for even better guarantees and low-latency local reads.
Build full-text search, run real-time analytics, embed visualizations, and sync to edge devices with fully integrated data services that require no manual data replication or additional infrastructure.