Run applications anywhere
Run anywhere in the world with Atlas. Organize your data in over 80 regions on AWS, Azure, and Google Cloud – including simultaneously with multi-cloud clusters. Pin records to regions for strict compliance and ultra-low latency.
Scale operations confidently
Build with sureness. Atlas comes with built-in best practices and intelligently automates critical operations to make sure your records is safe and your database is running as expected.
Reduce architectural complexity
Access and inquiry your records for any use case from a unified query API. Records stored in Atlas is instantly presented to use with the rest of our platform, from full-text search to analytics to visualizations.
Allow effective and resilient applications that use or more clouds right away.
Secure records with built-in defaults for get admission to and stop-to-stop encryption.
Get on-call for schema layout first-rate practices as your apps evolve.
Automated data tiering
Set archival rules for fee-green records storage as your facts estate develop.
Defend the client revel in with multi-area fault tolerance.
Client-side field-level encryption
Shield towards the not going event that network or disk encryption is bypassed.
Restore records to an appropriate second you want with factor-in-time restoration.
Electricity cell studies that take care of connectivity gaps and warfare decision.
Build incredible software with Atlas
Discover how to make the most of our application data platform.
Get the MongoDB Architecture Guide
Learn how our paper model and Query API help you meet the demands of modern apps.
Get the most out of Atlas
Power more data-driven experiences and insights with the rest of our application data platform.
Build fast, relevance-based full-text search in minutes. Eliminate the need to run a separate search engine alongside your database.
Bring your record to life instantly. Create, share, and embed visualizations for real-time insights and business intelligence.
Evaluate rich record easily across Atlas and AWS S3. Combine, transform, and enrich data from multiple sources without complex integrations.
MongoDB is a document database used to build highly available and scalable internet applications. With its flexible schema approach, it's popular with development teams using agile methodologies.
MongoDB is a non-relational document database that provides support for JSON-like storage. The MongoDB database has a flexible data model that enables you to store unstructured data, and it provides full indexing support, and replication with rich and intuitive APIs.
MongoDB is a document database. Graph databases are used to store information about networks, such as social connections.
MongoDB uses the MongoDB Query Language (MQL), designed for easy use by developers. The documentation compares MQL and SQL syntax for common database operations.
Flexible Data Model - MongoDB's document data model makes it easy for you to store and combine data of any structure, without giving up sophisticated validation rules, data access and rich indexing functionality. You can dynamically modify the schema without downtime.
NoSQL databases like MongoDB are a good choice when your data is document-centric and doesn't fit well into the schema of a relational database, when you need to accommodate massive scale, when you are rapidly prototyping, and a few other use cases.