🆚 Squid vs. Varnish

Type

Caching solution
Caching solution

About

Squid is an open-source caching proxy server that is most commonly used as a forward proxy to cache outbound internet requests, reduce bandwidth, and improve access times.

It supports proxy hierarchies and mesh caching using the Internet Cache Protocol, DNS caching, negative caching of failed requests, access control lists for traffic filtering, transparent proxying, and full request logging.

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

Westminster, Colorado, United States
Stockholm, Sweden

Website

Pricing

Free ✔️ Open source
Free version ✔️ Open source
Varnish Enterprise Custom

Categories

Caching › Rank #27
Caching › Rank #4
Load Balancers › Rank #20
Load Balancers › Rank #1

Popularity

Determined by the number of sites using each technology.

The Varnish caching solution is 240 times more popular than Squid.
Total websites

Market share

Caching
Load Balancers

Popularity by country

Determined by the number of sites detected from each country.

Varnish is more popular than Squid in all countries.
United States
United Kingdom
France
Germany
Denmark
Netherlands
Sweden
Norway
Belgium
Japan

Awards

Popularity by domain category

Determined by the number of sites in each category.

Varnish is more popular than Squid in all market segments.
Business
Education/Reference
Marketing/Merchandising
General News
Online Shopping
Entertainment
Blogs/Wiki
Sports
Travel
Internet Services

Top sites

Top-ranked sites that use these technologies.

Name
Rank
p-world.co.jp
#2,842
#7,402
#12,243
#18,359
View more ➝
Name
Rank
View more ➝

See also

🗃️ About This Data