🆚 Couchbase vs. CouchDB
- 📈 Couchbase is twice as popular as CouchDB.
- 🌎 Couchbase is more popular in the United States, Spain, and Korea.
- 🌍 CouchDB is more popular in Germany, the United Kingdom, and Australia.
Type
About
Couchbase is a distributed NoSQL database that was created in 2011 as a fork of CouchDB and designed for high-performance, scalable applications using
JSON data.
It combines a document store with key-value access, supports SQL++ queries with joins and ACID transactions, includes built-in services for full-text search, analytics, and event processing, and uses a memory-first architecture with managed caching, clustering, and cross data center replication for low-latency operations and high availability.
Apache CouchDB is an open-source, document-oriented NoSQL database that stores data as JSON documents and exposes a RESTful HTTP API for application access.
It features multi-version concurrency control, masterless replication with bi-directional sync, automatic conflict detection, map-reduce views for indexing and queries, pluggable storage engines, and supports clustering with horizontal scaling across multiple nodes.
Headquarters
Pricing
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 9th most popular in the United States in the Databases category.
- ⭐ 10th most popular in Germany in the Databases category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,370,977 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
Cassandra