🆚 Apache Wicket vs. Java Portlet

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

Apache Wicket is a component-oriented backend framework for Java that enables developers to build dynamic web applications using pure Java and HTML.

It supports reusable components, AJAX functionality, session management, CSRF protection, and integration with authentication libraries such as Shiro and Spring Security.

Java Portlets are pluggable user interface software components that are managed and displayed in a web portal.

Headquarters

Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source

Categories

Backend Frameworks › Rank #31
Backend Frameworks › Rank #18

Popularity

Determined by the number of sites using each technology.

The Java Portlet backend framework is 9 times more popular than Apache Wicket.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Java Portlet is more popular in Spain, the United States, and Italy, while Apache Wicket is more popular in Ireland, Latvia, and the Philippines.
Spain
United States
Italy
Germany
Finland
Brazil
France
United Kingdom
Canada
Poland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Java Portlet is more popular among sites focused on business, government and military, and finance and banking, while Apache Wicket is more commonly used on online shopping sites.
Business
Government/Military
Finance/Banking
Education/Reference
Public Information
Health
Marketing/Merchandising
Travel
Online Shopping
Internet Services

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,047
#1,070
#3,487
#13,454
View more ➝
Name
Rank
#1,212
#1,294
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.