🆚 CouchDB vs. RavenDB

Compare technologies based on real-world usage data *

Type

Database technology
Database technology

About

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.

RavenDB is an open-source, cross-platform NoSQL document database written in C#.

Headquarters

Wilmington, Delaware, United States
Hadera, Israel

Website

Pricing

Free ✔️Open source
Free version ✔️Community Edition, 60 cores, open source
Cloud Support$79+/month

Categories

Databases › Rank #19
Databases › Rank #22

Popularity

Determined by the number of sites using each technology.

CouchDB database technology is 12 times more popular than RavenDB.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

CouchDB is more popular than RavenDB in all countries.
Germany
United States
United Kingdom
Austria
Netherlands
France
Mexico
Belgium
India
Italy

Popularity by domain category

Determined by the number of sites in each category.

CouchDB is more popular among sites focused on online shopping, marketing and merchandising, and business, while RavenDB is more commonly used on education and reference sites.
Online Shopping
Marketing/Merchandising
Business
Fashion/Beauty
Software/Hardware
Education/Reference
Real Estate
Sports
Finance/Banking
Search Engines

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#3,224
#17,834
View more ➝
Name
Rank
#38,175
#63,413

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.