🆚 Gorilla vs. Sails

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

Gorilla is a web toolkit for the Go programming language that provides useful, composable packages for writing HTTP-based applications.

It includes packages for routing, WebSockets, session management, CSRF protection, and secure cookie handling.

Sails is an enterprise-grade MVC framework for Node.js designed to build data-driven APIs and realtime web applications.

It includes the Waterline ORM for working with multiple databases, auto-generated REST endpoints via blueprints, front-end agnosticism, WebSocket support out of the box, and reusable security policies.

Headquarters

Austin, Texas, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #48
Backend Frameworks › Rank #37

Popularity

Determined by the number of sites using each technology.

The Sails backend framework is 4 times more popular than Gorilla.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Sails is more popular in Japan, France, and Germany, while Gorilla is more popular in the Netherlands, the United States, and Poland.
Japan
Netherlands
United States
Poland
France
Germany
India
Vietnam
United Kingdom
Taiwan

Awards

Popularity by domain category

Determined by the number of sites in each category.

Sails is more popular among sites focused on business, Internet services, and travel, while Gorilla is more commonly used on health and blogs and wiki sites.
Business
Internet Services
Marketing/Merchandising
Education/Reference
Health
Travel
Blogs/Wiki
Finance/Banking
Auctions/Classifieds
Technical/Business Forums

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#30,894
#236,586
#538,558
#596,872
View more ➝
Name
Rank
#33,345
#33,913
#119,879
#120,893
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.