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  5. Ruby vs Scala

Ruby vs Scala

OverviewDecisionsComparisonAlternatives

Overview

Ruby
Ruby
Stacks46.0K
Followers21.8K
Votes4.0K
GitHub Stars23.0K
Forks5.5K
Scala
Scala
Stacks11.9K
Followers7.8K
Votes1.5K
GitHub Stars14.4K
Forks3.1K

Ruby vs Scala: What are the differences?

Key Differences between Ruby and Scala

Ruby and Scala are both popular programming languages that are widely used for various purposes. While they share certain similarities, such as being object-oriented and supporting functional programming paradigms, there are several key differences that set them apart. Here are six important differences between Ruby and Scala:

  1. Type System: Ruby is a dynamically typed language, meaning that variable types are determined at runtime. On the other hand, Scala is a statically typed language, where variable types are checked at compile time. This difference allows Scala to catch type-related errors earlier in the development process, making it more suitable for large-scale projects.

  2. Scalability: Scala is known for its scalability, making it an ideal choice for building high-performance, concurrent applications. It leverages the Java Virtual Machine (JVM) to achieve native thread support and efficient memory management. Ruby, on the other hand, is not optimized for parallelism and may struggle to handle heavy workloads or large datasets.

  3. Language Syntax: Ruby focuses on simplicity and readability, using a more expressive syntax that emphasizes writing code in a natural language-like style. Scala, on the other hand, has a more complex syntax that combines object-oriented and functional programming constructs. This difference makes Ruby easier to learn and write, while Scala offers more flexibility and power for experienced developers.

  4. Concurrency: Scala provides built-in support for concurrency through its actor-based model, allowing developers to easily write concurrent and distributed applications. Ruby, on the other hand, relies on thread-based concurrency, which can be more challenging to manage and prone to issues like race conditions and deadlocks.

  5. Community and Ecosystem: Ruby has a vibrant and passionate community, with a wide range of open-source libraries and frameworks to choose from. It is especially popular in web development, with Ruby on Rails being one of the most widely used frameworks. Scala, being a more niche language, has a smaller community but is backed by strong industry support, particularly in the big data and distributed systems domains.

  6. Performance: Due to its dynamic nature, Ruby may suffer from slower performance compared to statically-typed languages like Scala. While this may not be a significant concern for small to medium-sized applications, it can become a bottleneck for computationally intensive tasks or high-traffic systems. Scala, with its static typing and JVM optimization, generally offers better performance.

In summary, Ruby and Scala differ in their type systems, scalability, syntax, concurrency models, community size, and performance characteristics. Understanding these differences can help developers make informed decisions about which language to use based on their specific requirements and project constraints.

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Advice on Ruby, Scala

Timm
Timm

VP Of Engineering at Flexperto GmbH

Nov 10, 2020

Decided

We have a lot of experience in JavaScript, writing our services in NodeJS allows developers to transition to the back end without any friction, without having to learn a new language. There is also the option to write services in TypeScript, which adds an expressive type layer. The semi-shared ecosystem between front and back end is nice as well, though specifically NodeJS libraries sometimes suffer in quality, compared to other major languages.

As for why we didn't pick the other languages, most of it comes down to "personal preference" and historically grown code bases, but let's do some post-hoc deduction:

Go is a practical choice, reasonably easy to learn, but until we find performance issues with our NodeJS stack, there is simply no reason to switch. The benefits of using NodeJS so far outweigh those of picking Go. This might change in the future.

PHP is a language we're still using in big parts of our system, and are still sometimes writing new code in. Modern PHP has fixed some of its issues, and probably has the fastest development cycle time, but it suffers around modelling complex asynchronous tasks, and (on a personal note) lack of support for writing in a functional style.

We don't use Python, Elixir or Ruby, mostly because of personal preference and for historic reasons.

Rust, though I personally love and use it in my projects, would require us to specifically hire for that, as the learning curve is quite steep. Its web ecosystem is OK by now (see https://www.arewewebyet.org/), but in my opinion, it is still no where near that of the other web languages. In other words, we are not willing to pay the price for playing this innovation card.

Haskell, as with Rust, I personally adore, but is simply too esoteric for us. There are problem domains where it shines, ours is not one of them.

682k views682k
Comments
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

Detailed Comparison

Ruby
Ruby
Scala
Scala

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.

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.

Statistics
GitHub Stars
23.0K
GitHub Stars
14.4K
GitHub Forks
5.5K
GitHub Forks
3.1K
Stacks
46.0K
Stacks
11.9K
Followers
21.8K
Followers
7.8K
Votes
4.0K
Votes
1.5K
Pros & Cons
Pros
  • 608
    Programme friendly
  • 538
    Quick to develop
  • 492
    Great community
  • 469
    Productivity
  • 432
    Simplicity
Cons
  • 7
    Really slow if you're not really careful
  • 7
    Memory hog
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    Ambiguous Syntax, such as function parentheses
Pros
  • 188
    Static typing
  • 178
    Pattern-matching
  • 175
    Jvm
  • 172
    Scala is fun
  • 138
    Types
Cons
  • 11
    Slow compilation time
  • 7
    Multiple ropes and styles to hang your self
  • 6
    Too few developers available
  • 4
    Complicated subtyping
  • 2
    My coworkers using scala are racist against other stuff
Integrations
Rails
Rails
Java
Java

What are some alternatives to Ruby, Scala?

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.

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.

Rust

Rust

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.

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