🆚 mod_perl vs. Swoole

Compare technologies based on real-world usage data *

Type

Web server module
Web server module

About

mod_perl is a module for the Apache web server that embeds a Perl interpreter into the server.

Swoole is a high-performance PHP extension that enhances the language with asynchronous I/O, coroutines, and advanced concurrency capabilities.

It provides an event-driven, non-blocking architecture, coroutine-based multitasking, timers, async TCP/UDP/HTTP/WebSocket servers, task workers, connection pooling, built-in coroutine-friendly clients for MySQL/Redis/HTTP, and network primitives that help PHP applications handle massive concurrent connections with lower latency and improved throughput.

Headquarters

Wilmington, Delaware, United States
Shanghai, China

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Web Server Modules › Rank #8
Web Server Modules › Rank #13

Popularity

Determined by the number of sites using each technology.

The mod_perl web server module is 6 times more popular than Swoole.
Total websites

Market share

Web Server Modules

Popularity by country

Determined by the number of sites detected from each country.

mod_perl is more popular in the United States, Japan, and Russia, while Swoole is more popular in China.
United States
China
Japan
Russia
Germany
United Kingdom
France
Austria
Canada
Chile

Awards

Popularity by domain category

Determined by the number of sites in each category.

mod_perl is more popular than Swoole in all market segments.
Education/Reference
Business
Marketing/Merchandising
Internet Services
Software/Hardware
Blogs/Wiki
Sports
Online Shopping
Travel
Technical/Business Forums

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#6,656
#8,585
#9,062
View more ➝
Name
Rank
#484,146
#657,436
#705,760
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.