🆚 Apache Cocoon vs. Grails

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

Apache Cocoon was an open-source Java web application framework built around XML processing and retired in January 2025.

It used a pipeline architecture with generators, transformers, and serializers to convert XML into outputs such as HTML, PDF, and RTF, emphasized separation of content, logic, and presentation, and integrated with XSLT, XQuery, and the Spring framework.

Grails is a Groovy-based web application framework for the JVM built on top of Spring Boot.

It integrates GORM for object-relational mapping, supports SQL, MongoDB, and Neo4j, and offers built-in tools for asynchronous programming, JSON rendering, and RESTful APIs.

Headquarters

Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #50
Backend Frameworks › Rank #38
Legacy › Rank #96

Popularity

Determined by the number of sites using each technology.

The Grails backend framework is 5 times more popular than Apache Cocoon.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Grails is more popular in Poland, Romania, and Australia, while Apache Cocoon is more popular in France, Germany, and Spain.
Poland
France
Romania
Australia
Germany
Spain
United States
Canada
Italy
Japan

Awards

Popularity by domain category

Determined by the number of sites in each category.

Grails is more popular than Apache Cocoon in all market segments.
Education/Reference
Business
Online Shopping
Travel
Internet Services
Public Information
Health
Sports
Potentially Unwanted Programs
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#112,703
#132,163
#174,514
View more ➝
Name
Rank
#54,798
#492,587
#496,037
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.