🆚 Cassandra vs. Couchbase

Type

Database
Database

About

Apache Cassandra is an open-source, highly scalable, distributed NoSQL database.

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.

Headquarters

Wilmington, Delaware, United States
San Jose, California, United States

Website

Pricing

Free ✔️ Open source
Free version ✔️ Community Edition (limited concurrency and parallelism, no cross data center replication)
Capella
Free version ✔️
$0.15/hour per node
Enterprise $0.66+/hour per node

Categories

Databases › Rank #16
Databases › Rank #10

Popularity

Determined by the number of sites using each technology.

The Couchbase database is 6 times more popular than Cassandra.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

Couchbase is more popular in the United States, the United Kingdom, and Spain, while Cassandra is more popular in Switzerland, Australia, and Germany.
United States
United Kingdom
Switzerland
Spain
Korea
Australia
Germany
Japan
France
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

Couchbase is more popular among sites focused on general news, business, and sports, while Cassandra is more commonly used on auctions and classifieds, finance and banking, and software and hardware sites.
General News
Auctions/Classifieds
Business
Sports
Internet Services
Finance/Banking
Online Shopping
Public Information
Software/Hardware
Games

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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Name
Rank
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See also

🗃️ About This Data