🆚 LiteSpeed Cache vs. Varnish

Type

Caching solution
Caching solution

About

LiteSpeed Cache is a server-side caching solution designed specifically for LiteSpeed web servers, available as a plugin for WordPress, Drupal, Joomla, Magento, Shopware, etc.

Varnish Cache is an open-source HTTP accelerator and reverse caching proxy that caches content from web servers to reduce load times, and supports native TLS termination and Kubernetes deployments.

It uses the VCL configuration language compiled to native C code, serves cached responses in three system calls, provides official container images and a Helm chart for Kubernetes, outputs structured JSON logs, and supports VMOD extension modules.

Headquarters

Newtown Square, Pennsylvania, United States
Stockholm, Sweden

Website

Pricing

Free ✔️ Requires LiteSpeed Web Server or QUIC.cloud CDN
Free version ✔️ Open source
Varnish Enterprise Custom

Categories

Caching › Rank #2
Caching › Rank #4
Load Balancers › Rank #1

Popularity

Determined by the number of sites using each technology.

The LiteSpeed Cache caching solution is 2.2 times more popular than Varnish.
Total websites

Market share

Caching

Popularity by country

Determined by the number of sites detected from each country.

LiteSpeed Cache is more popular in the United States, the United Kingdom, and France, while Varnish is more popular in Germany, Denmark, and Sweden.
United States
United Kingdom
France
Brazil
Netherlands
Spain
India
Australia
Germany
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

LiteSpeed Cache is more popular among sites focused on business, blogs and wiki, and marketing and merchandising, while Varnish is more commonly used on education and reference, general news, and sports sites.
Business
Blogs/Wiki
Marketing/Merchandising
Education/Reference
Online Shopping
Internet Services
General News
Entertainment
Travel
Sports

Top sites

Top-ranked sites that use these technologies.

Name
Rank
momon-ga.com
#945
View more ➝
Name
Rank
View more ➝

See also

🗃️ About This Data