🆚 MongoDB vs. PouchDB

Compare technologies based on real-world usage data *

Type

Database technology
Database technology

About

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.

PouchDB is an open-source JavaScript database inspired by Apache CouchDB that is designed to run well within the browser.

Headquarters

New York, United States

Website

Pricing

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
Free ✔️Open source

Categories

Databases › Rank #8
Databases › Rank #21
JavaScript Libraries › Rank #296

Popularity

Determined by the number of sites using each technology.

MongoDB database technology is 38 times more popular than PouchDB.
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 PouchDB is more popular in New Zealand and Iran.
United States
Germany
United Kingdom
Canada
France
Spain
Mexico
Brazil
Switzerland
New Zealand

Awards

Popularity by domain category

Determined by the number of sites in each category.

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

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#121,028
#463,792
#492,707
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.