Full-Text Search
Couchbase’s full-text search integrates powerful, flexible tools directly into its database, enabling users to easily find data across text, geolocation, and vectors, thus improving scalability, security, and cost-efficiency for modern applications.
What is full-text search (FTS)?
Full-text search makes it easy to find content in your database by using criteria such as text, latitude, longitude, and vector embeddings to scan indexes for matches. FTS indexes are pre-organized to make retrieval faster than traditional field-based database scanning. Integrated JSON full-text search on Couchbase provides powerful search tooling with multi-language and SQL++ query support. Find documents by using simple or complex terms and phrases, geolocation, and vector search, without the need for any third-party software.
Multi-document support
Execute transactions across multiple documents and collections, simplifying complex operations without extra code.
ACID transactions
Get full ACID guarantees – even in distributed environments – so you can focus on building without worrying about data integrity.
Scalable performance
Leverage schemaless data modeling to facilitate easier migration from relational databases.
Seamless integration
Work natively in your preferred Couchbase SDK with intuitive, developer-friendly APIs.
Full-text search key services & capabilities
Full-text search is fully integrated as a flexible and distributed system for your JSON database searching needs. Index and find text, geographic coordinates, and vectors within any type of Couchbase document while returning search results through SQL++ queries, the SDK, or a single integrated management interface.
Index JSON data
Index using powerful multi-language text analyzers and the flexibility of multiple fields, nested objects, and arrays.
Flexible search
Single indexes support multi-field queries, using exact or fuzzy matches and any combination of ANDs and ORs.
Hybrid query integration
Reduce code complexity with the ability to combine SQL++, full-text search, geospatial, and vector into a single query when needed.
Bleve open source
Our full-text search engine comes from the Bleve open source project, a powerful search and indexing Go library.
Develop modern applications more easily
With our full-text search, you can add powerful and flexible capabilities to your Couchbase applications without any additional download or installation required. Enable the service, create an index, and start searching right away.
Simplify code with integrated query and search
You can use full-text search queries directly within a SQL++ query, including text, vector, and geospatial. This eliminates the need to write complex code to process and combine the results from separate SQL and search queries.
Built-in HA for any scale
Text search tools are integrated into Couchbase with built-in partitioning, replication, and auto-failover for high availability. You can scale out full-text search with the same flexible distributed and scale-out architecture of the Couchbase database platform.
What customers are saying
-
“Couchbase Search allows us to deliver customer search results from extremely large data sets very efficiently.”
Brant Burnett, Systems Architect, CenterEdge Software360
degree customer insights
-
“Couchbase is a trifecta of value. We get more features, save time, and spend less money all at once.”
Philip Lupercio, VP of Technology, BroadJump500%
improvement in query performance
-
“We’re happy with Couchbase’s availability, performance, easy-to-replicate data, security, scalability, and full-text search.”
Infrastructure Director, Quickplay>30K
queries per minute
Keep exploring
-
DOCUMENTATION
Introduction to full-text search
-
Training video
Add full-text search to your Couchbase data
-
DOCUMENTATION
Advanced geospatial search: Polygon, circle, envelope, etc.