🆚 Go vs. Ruby on Rails

Compare technologies based on real-world usage data *

Type

Programming language
Backend framework

About

Go, also known as Golang, is a high-level, statically typed, compiled programming language developed at Google. It features runtime efficiency, built-in concurrency, and high-performance networking.

Ruby on Rails is a full-stack framework that includes everything needed to build database-driven web applications using the Model-View-Controller (MVC) pattern.

It emphasizes a standardized folder structure and naming, follows DRY ("don't repeat yourself") and the "convention over configuration" principles, provides an Active Record ORM, a built-in asset pipeline for CSS and JavaScript preprocessing, and an integrated testing framework.

Headquarters

Mountain View, California, United States
Chicago, Illinois, United States

Website

Pricing

Free ✔️Open source

Categories

Programming Languages › Rank #12
Platforms › Rank #8
Platforms › Rank #4
Backend Frameworks › Rank #2

Popularity

Determined by the number of sites using each technology.

The Ruby on Rails backend framework is 20 times more popular than Go.
Total websites

Market share

Platforms

Popularity by country

Determined by the number of sites detected from each country.

Ruby on Rails is more popular in the United States, the United Kingdom, and Germany, while Go is more popular in Saint Helena and Palau.
United States
United Kingdom
Germany
India
Australia
Netherlands
Canada
Japan
France
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Ruby on Rails is more popular than Go in all market segments.
Online Shopping
Marketing/Merchandising
Fashion/Beauty
Business
Education/Reference
Blogs/Wiki
Internet Services
Entertainment
Sports
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,368
View more ➝
Name
Rank
#76
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.