StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Languages
  4. Languages
  5. Ruby vs Rust

Ruby vs Rust

OverviewDecisionsComparisonAlternatives

Overview

Ruby
Ruby
Stacks46.0K
Followers21.8K
Votes4.0K
GitHub Stars23.0K
Forks5.5K
Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K

Ruby vs Rust: What are the differences?

Ruby is a dynamically-typed, high-level language that prioritizes developer productivity and readability, while Rust, a statically-typed language, emphasizes performance and memory safety with a focus on preventing common programming errors. Let's explore the key differences between Ruby and Rust.

  1. Memory Management: One of the main differences between Ruby and Rust lies in their approach to memory management. Ruby uses automatic garbage collection, which means that the memory allocation and deallocation are handled automatically by the Ruby interpreter. On the other hand, Rust, being a systems programming language, gives the developer full control over memory management. Rust uses a concept called ownership, where memory is managed through strict borrowing rules at compile-time, ensuring memory safety without the need for a garbage collector.

  2. Type System: Ruby is a dynamically typed language, meaning that variables do not have a fixed type and can change their type during runtime. This allows for flexibility but can also introduce potential runtime errors. Rust, on the other hand, is a statically typed language, which means that variables must have a defined type at compile-time and cannot change their type. This provides greater safety and helps catch errors early in the development process.

  3. Concurrency: Ruby traditionally has limited support for concurrency due to its Global Interpreter Lock (GIL), which allows only one thread to execute Ruby code at a time. This can hinder performance in multi-threaded applications. In contrast, Rust has built-in support for concurrency and parallelism without the need for a GIL. Rust's ownership rules and the concept of Send and Sync traits enable safe and efficient concurrent programming.

  4. Error Handling: Ruby uses exceptions for error handling, where an exception is raised when an error occurs and can be caught using begin, rescue, and ensure blocks. In Rust, error handling is done through the Result type, which represents either a success value or an error value. This forces developers to explicitly handle errors, promoting more robust and predictable code.

  5. Trait-based generics: Rust provides a powerful feature called traits, which allows for abstracting over types and implementing generic behavior. These traits enable generic programming in Rust, offering flexibility and code reuse. Ruby, on the other hand, does not have built-in support for traits and generic type behavior is less explicit.

  6. Community and Ecosystem: The Ruby community is known for its vibrant and inclusive nature, with a vast ecosystem of libraries, frameworks, and tools. Ruby is widely adopted in web development, especially for building Ruby on Rails applications. Rust, while still growing, has a more niche community but is gaining popularity for its focus on safety, performance, and low-level systems programming. The Rust ecosystem is expanding, with a growing number of libraries and frameworks catering to various domains.

In summary, Ruby excels in elegant syntax and rapid development for web applications, prioritizing simplicity and convention over configuration. On the other hand, Rust stands out for its robust memory safety guarantees, making it a compelling choice for systems programming where performance and low-level control are paramount, while still ensuring a high level of safety and preventing memory-related bugs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Ruby, Rust

Thomas
Thomas

Talent Co-Ordinator at Tessian

Mar 11, 2020

Decided

In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.

263k views263k
Comments
Andrew
Andrew

Chief Software Architect at Xelex Digital, LLC

Jun 27, 2020

Decided

In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.

To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.

Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.

For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.

That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.

We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.

As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.

447k views447k
Comments
Ing. Alvaro
Ing. Alvaro

Software Systems Engineer at Ripio

Nov 28, 2020

Decided

I was considering focusing on learning RoR and looking for a work that uses those techs.

After some investigation, I decided to stay with C# .NET:

  • It is more requested on job positions (7 to 1 in my personal searches average).

  • It's been around for longer.

  • it has better documentation and community.

  • One of Ruby advantages (its amazing community gems, that allows to quickly build parts of your systems by merely putting together third party components) gets quite complicated to use and maintain in huge applications, where building and reusing your own components may become a better approach.

  • Rail's front end support is starting to waver.

  • C# .NET code is far easier to understand, debug and maintain. Although certainly not easier to learn from scratch.

  • Though Rails has an excellent programming speed, C# tends to get the upper hand in long term projects.

I would avise to stick to rails when building small projects, and switching to C# for more long term ones.

Opinions are welcome!

399k views399k
Comments

Detailed Comparison

Ruby
Ruby
Rust
Rust

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Statistics
GitHub Stars
23.0K
GitHub Stars
107.6K
GitHub Forks
5.5K
GitHub Forks
13.9K
Stacks
46.0K
Stacks
6.1K
Followers
21.8K
Followers
5.0K
Votes
4.0K
Votes
1.2K
Pros & Cons
Pros
  • 608
    Programme friendly
  • 538
    Quick to develop
  • 492
    Great community
  • 469
    Productivity
  • 432
    Simplicity
Cons
  • 7
    Memory hog
  • 7
    Really slow if you're not really careful
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    No type safety, so it requires copious testing
Pros
  • 146
    Guaranteed memory safety
  • 133
    Fast
  • 89
    Open source
  • 75
    Minimal runtime
  • 73
    Pattern matching
Cons
  • 28
    Hard to learn
  • 24
    Ownership learning curve
  • 12
    Unfriendly, verbose syntax
  • 4
    No jobs
  • 4
    Variable shadowing
Integrations
Rails
Rails
No integrations available

What are some alternatives to Ruby, Rust?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Swift

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase