🆚 CouchDB vs. MongoDB

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.

MongoDB is a NoSQL, collection-oriented, schema-free document database that supports deployment across cloud or on-premises.

It stores documents in BSON (JSON-like) format, offers ACID multi-document transactions, powerful indexing (including geospatial and text), horizontal scalability via sharding, and high availability through replica sets.

Headquarters

Wilmington, Delaware, United States
New York, United States

Website

Pricing

Free ✔️Open source
Atlas
Free version ✔️512MB of storage, shared RAM and vCPU
Dedicated Cluster$0.08+/hour
Flex Cluster$0.011+/hour
Enterprise Advanced$15,480/VirtualServer/year

Categories

Databases › Rank #14
Databases › Rank #8

Popularity

Determined by the number of sites using each technology.

MongoDB database technology is 11 times more popular than CouchDB.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

MongoDB is more popular in the United States, Germany, and the United Kingdom, while CouchDB is more popular in Australia.
United States
Germany
United Kingdom
France
Canada
Mexico
Spain
Switzerland
Netherlands
Brazil

Awards

Popularity by domain category

Determined by the number of sites in each category.

MongoDB is more popular than CouchDB in all market segments.
General News
Business
Online Shopping
Entertainment
Marketing/Merchandising
Sports
Finance/Banking
Fashion/Beauty
Auctions/Classifieds
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#3,224
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Name
Rank
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See also

🗃️ About This Data