Access JSON NoSQL data with Couchbase data structures: maps, lists, counters, queues using N1QL/SQL queries, indexes and efficient SDK calls.
Explore effective operational tips on full-text search service like memory quota, index partitions, replicas, aliases, and failover-recovery rebalance.
Combining Couchbase geospatial search with N1QL queries will allow you to conquer complex geographical boundaries.
Couchbase provides a variety of ways to perform geospatial search in your application. We'll review a use case for location data and demo the capabilities.
![Couchbase Views and Better Alternatives [Part 1 of 2]](https://www.couchbase.com/blog/wp-content/uploads/sites/1/2022/11/couchbase-nosql-dbaas.png.webp)
Introduction This blog is meant for users who are familiar with the basics of Couchbase Server and Views. Novice users should start here to gain basic understanding of Couchbase Server and then continue here to get acquainted with Views. Views...
N1QL transactions are multi-document, multi-bucket, multi-scope, multi collection, and multi-DML-statement. Read on to learn more!
Search Query Performance optimisation or troubleshooting tips for couchbase Full Text Search. Tune for query performance in couchbase search service.
What is geospatial polygon search? This article examines Polygon-based search in Couchbase, a feature that has been added since Couchbase 6.6.
The Flex Index is a unique Couchbase innovation that uses the inverted indexes from Full-Text Search in complex Couchbase N1QL queries.
Couchbase Server 6.6 is available with enhancements to Analytics, Query, Search, and Eventing Services and backup, recovery, and tooling capabilities.
Couchbase’s Full-Text Search (FTS) Engine is powered by Bleve, and this article will showcase text analysis within this engine.
Find out how Couchbase 6.6 removes limitations on JSON arrays by using a built-in inverted index to be used to index and query arrays in N1QL.
Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.
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