Designed for versatility and speed
Couchbase handles many data access patterns: key-value, JSON document, vector search, full-text search, time series, analytics, eventing, and SQL++. Flexible JSON supports semi- and unstructured data. Scopes and collections provide organization that's similar to tables/schemas. Build powerful queries with SQL++, which includes built-in JOINs, transactions, UDFs, CTEs, and cost-based optimization. Get coding help from AI-powered Capella iQ.

Unique advantages
JSON documents
Supports a wide variety of data types, changing application needs, and data models
Flexible data model
Couchbase’s schema can evolve with your application requirements
Key-value access
Fast performance with memory-first CRUD access and lookup
SQL++ query execution
It's as easy as SQL: Query JSON with the familiarity of SQL syntax, including JOINs
Vector search
Build semantic search into applications and improve LLM responses with RAG
Full-text search
Native full-text and geographic search
Time series
Use time-series data alongside your other data needs together in Couchbase
Event-driven data
Build user-defined functions, capture data changes, react to events, and stream data to and from external sources
Always-on mobile apps
Build powerful mobile apps, with vector search, offline access, and peer-to-peer sync
Operational analytics
Large-scale aggregations and complex reporting in real time powered by SQL++
Automatic data sharding
Couchbase handles sharding for you, so you don’t have to worry about it
Automated backups
With Couchbase Capella™ DBaaS, backups can be scheduled and automated
Related resources
Database versatility
Learn why NoSQL and Couchbase is for developers
Data modeling webinar
Learn how to move from relational to NoSQL
Couchbase tutorials
Learn operations, SQL querying, transactions, building REST APIs, and more
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