🆚 Bigtable vs. CouchDB

Compare technologies based on real-world usage data *

Type

Database technology
Database technology

About

Bigtable is a low-latency, high-throughput NoSQL and key-value database.

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

Mountain View, California, United States
Wilmington, Delaware, United States

Website

Pricing

Free version ❌
Compute capacity$0.65/node/hour
Data storage
SSD$0.17/GB/month
HDD$0.026/GB/month
Free ✔️Open source

Categories

Databases › Rank #18
Databases › Rank #13

Popularity

Determined by the number of sites using each technology.

CouchDB database technology is 1.9 times more popular than Bigtable.
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 the Netherlands, while Bigtable is more popular in the United States, Italy, and Sweden.
United States
Germany
United Kingdom
Netherlands
Australia
France
Austria
Belgium
Switzerland
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

CouchDB is more popular among sites focused on online shopping, business, and marketing and merchandising, while Bigtable is more commonly used on Internet services, finance and banking, and streaming media sites.
Online Shopping
Business
Marketing/Merchandising
Fashion/Beauty
Internet Services
Finance/Banking
Health
Interactive Web Applications
Sports
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#3,224
View more ➝

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.