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  5. C# vs Rust

C# vs Rust

OverviewDecisionsComparisonAlternatives

Overview

C#
C#
Stacks70.1K
Followers46.3K
Votes2.2K
Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K

C# vs Rust: What are the differences?

C# and Rust are two programming languages that have different features and characteristics. Here are the key differences between C# and Rust:

  1. Memory Management: One of the major differences between C# and Rust is their approach to memory management. C# uses a garbage collector that automatically handles memory deallocation, allowing developers to focus on writing code. On the other hand, Rust employs a strict ownership system, which ensures memory safety by enforcing strict rules on how memory is used and released. This ownership system eliminates the need for a garbage collector and provides better control over memory usage.

  2. Concurrency and Parallelism: C# provides built-in support for concurrency and parallelism through the use of .NET's Task Parallel Library (TPL) and asynchronous programming keywords like async and await. These features make it easier for developers to write concurrent and parallel code. Rust, on the other hand, uses a different approach called "fearless concurrency." It provides low-level primitives like threads and locks, as well as higher-level abstractions like channels and asynchronous programming, enabling developers to write safe and efficient concurrent code.

  3. Type System: C# is a statically typed language, meaning that variables must be explicitly declared with their types at compile-time. It also supports type inference, allowing developers to omit type declarations when the compiler can deduce the type. Rust, on the other hand, has a more powerful and expressive type system. It employs a combination of static typing and type inference, but also introduces concepts like generics, traits, and pattern matching, making it more suitable for systems programming.

  4. Error Handling: In C#, exceptions are commonly used for error handling, where code can throw and catch exceptions to handle exceptional situations. Rust takes a different approach by using a system of error handling based on the "result" type. Instead of throwing and catching exceptions, Rust uses the "Result" type to represent the possibility of errors, forcing the developer to explicitly handle and propagate errors, leading to more robust code.

  5. Parallel Execution: C# provides a rich set of libraries and frameworks for parallel execution, such as the TPL and PLINQ (Parallel LINQ), which allow for easy parallelization of tasks. Rust follows a different path, focusing more on low-level concurrency primitives and manual control over parallel execution. Rust provides features like threads, message passing, and shared memory, enabling developers to write efficient and scalable parallel code.

  6. Community and Ecosystem: C# has a large and mature community, supported by Microsoft, with a vast ecosystem of libraries, frameworks, and tools. It is a popular language for building Windows applications and enterprise software. Rust, on the other hand, has a growing community that is known for its passion and dedication. Rust has gained popularity in recent years, particularly for systems programming and performance-critical applications, with an expanding ecosystem of libraries and tools.

In summary, C# is a versatile, object-oriented language developed by Microsoft, commonly used for building Windows applications and web services, while Rust is a systems programming language known for its emphasis on memory safety without sacrificing performance, making it suitable for developing low-level software with a strong focus on preventing common programming errors.

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Advice on C#, Rust

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
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.

446k views446k
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

C#
C#
Rust
Rust

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.

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
-
GitHub Stars
107.6K
GitHub Forks
-
GitHub Forks
13.9K
Stacks
70.1K
Stacks
6.1K
Followers
46.3K
Followers
5.0K
Votes
2.2K
Votes
1.2K
Pros & Cons
Pros
  • 351
    Cool syntax
  • 294
    Great lambda support
  • 267
    Great generics support
  • 212
    Language integrated query (linq)
  • 181
    Extension methods
Cons
  • 15
    Poor x-platform GUI support
  • 8
    Closed source
  • 7
    Requires DllImportAttribute for getting stuff from unma
  • 7
    Fast and secure
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
    Variable shadowing
  • 4
    No jobs
Integrations
.NET
.NET
No integrations available

What are some alternatives to C#, 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.

Ruby

Ruby

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.

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.

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.

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