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.
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.
Keep your applications running, whether traffic triples or new structures are added. Atlas proposals advanced presentation optimization tools so you always have the database resources you need to keep building.
Power more data-driven experiences and insights with the rest of our application data platform.
Search
Build fast, relevance-based full-text search in minutes. Eliminate the need to run a separate search engine alongside your database.
Charts
Bring your record to life instantly. Create, share, and embed visualizations for real-time insights and business intelligence.
Data Lake
Evaluate rich record easily across Atlas and AWS S3. Combine, transform, and enrich data from multiple sources without complex integrations.
What MongoDB is used for?
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.
Is MongoDB a database?
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.
What type of database is MongoDB?
MongoDB is a document database. Graph databases are used to store information about networks, such as social connections.
Which language is used in MongoDB?
MongoDB uses the MongoDB Query Language (MQL), designed for easy use by developers. The documentation compares MQL and SQL syntax for common database operations.
Why MongoDB is so popular?
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.
When should we use MongoDB?
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.