🆚 CouchDB vs. Neo4j

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.

Neo4j is a high-performance NoSQL graph database built to leverage both data and its relationships.

Headquarters

Wilmington, Delaware, United States
San Mateo, California, United States

Website

Pricing

Free ✔️Open source
Self Managed
Free version ✔️Community Edition, open source
Enterprise EditionCustom
AuraDB Managed
Free version ✔️
Professional$65/GB/month
Business Critical$146/GB/month

Categories

Databases › Rank #14
Databases › Rank #18

Popularity

Determined by the number of sites using each technology.

CouchDB database technology is 2.1 times more popular than Neo4j.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

CouchDB is more popular in Germany, the United Kingdom, and Australia, while Neo4j is more popular in the United States.
Germany
United States
United Kingdom
Australia
Netherlands
France
Switzerland
Austria
Belgium
New Zealand

Awards

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 fashion and beauty, while Neo4j is more commonly used on business, finance and banking, and software and hardware sites.
Business
Online Shopping
Marketing/Merchandising
Fashion/Beauty
Health
Finance/Banking
Software/Hardware
Internet Services
Interactive Web Applications
Pharmacy

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#3,224
View more ➝
Name
Rank
#1,019
#1,633
View more ➝

See also

🗃️ About This Data