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