Ada vs Scala

Overview

Scala

Stacks11.9K

Followers7.8K

Votes1.5K

GitHub Stars14.4K

Forks3.1K

Ada

Stacks36

Followers51

Votes8

Ada vs Scala: What are the differences?

Key Differences between Ada and Scala

Ada and Scala are two programming languages that have distinct features and purposes. Here are the key differences between them:

Syntax and Expressiveness: Ada is known for its strict and explicit syntax, which makes it a reliable choice for developing safety-critical systems. On the other hand, Scala provides a more expressive and concise syntax, enabling developers to write code in a functional and object-oriented style seamlessly.
Concurrency and Parallelism: While Ada has built-in support for tasking and concurrency, Scala leverages the Actor model to handle concurrency. Scala's Actor model provides a higher level of abstraction, making it easier to write concurrent and parallel programs.
Type Systems: Ada has a strong and static type system that enforces compile-time checks for type safety. However, Scala has a powerful static type system that also supports type inference, allowing developers to omit type annotations while still maintaining type safety.
Object-Oriented Programming: Ada provides object-oriented programming (OOP) features but with a less expressive syntax compared to Scala. Scala, being a hybrid programming language, seamlessly combines object-oriented and functional programming paradigms, giving developers the freedom to choose the most suitable approach.
Library Ecosystem: Ada has a smaller library ecosystem compared to Scala. Scala, being built on top of the Java Virtual Machine (JVM), inherits the vast Java library ecosystem, including frameworks and tools, which makes it easier to integrate and reuse existing Java code.
Community and Adoption: Ada is widely used in safety-critical domains such as aviation and defense due to its reliability and strong static typing. Scala, on the other hand, has gained popularity in the industry as a general-purpose language, especially in the big data and distributed systems domain.

In summary, Ada and Scala differ in terms of syntax, concurrency models, type systems, programming paradigms, library ecosystems, and industry adoption.

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Advice on Scala, Ada

Jakub

Jan 2, 2020

Decided

We needed to incorporate Big Data Framework for data stream analysis, specifically Apache Spark / Apache Storm. The three options of languages were most suitable for the job - Python, Java, Scala.

The winner was Python for the top of the class, high-performance data analysis libraries (NumPy, Pandas) written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow.

The whole code was shorter & more readable which made it easier to develop and maintain.

290k views290k

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zen

Sep 26, 2019

Needs advice

Finding the best server-side tool for building a personal information organizer that focuses on performance, simplicity, and scalability.

performance and scalability get a prototype going fast by keeping codebase simple find hosting that is affordable and scales well (Java/Scala-based ones might not be affordable)

306k views306k

Comments

Detailed Comparison

Scala	Ada
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.	It is a structured, statically typed, imperative, and object-oriented high-level programming language, extended from Pascal and other languages. It has built-in language support for design by contract (DbC), extremely strong typing, explicit concurrency, tasks, synchronous message passing, protected objects, and non-determinism. Ada improves code safety and maintainability by using the compiler to find errors in favor of runtime errors.
-	Structured; Statically typed; Imperative; Object-oriented; High-level
Statistics
GitHub Stars 14.4K	GitHub Stars -
GitHub Forks 3.1K	GitHub Forks -
Stacks 11.9K	Stacks 36
Followers 7.8K	Followers 51
Votes 1.5K	Votes 8
Pros & Cons
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	Pros 1 Nested subprograms 1 Tasking and synchronization 1 SPARK 1 Encapsulation 1 Ada Certification Cons 1 Difficult to learn
Integrations
Java	No integrations available

What are some alternatives to Scala, Ada?

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 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

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

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 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

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 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# (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 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

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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Ada vs Scala: What are the differences?

Key Differences between Ada and Scala

Ada and Scala are two programming languages that have distinct features and purposes. Here are the key differences between them:

Syntax and Expressiveness: Ada is known for its strict and explicit syntax, which makes it a reliable choice for developing safety-critical systems. On the other hand, Scala provides a more expressive and concise syntax, enabling developers to write code in a functional and object-oriented style seamlessly.
Concurrency and Parallelism: While Ada has built-in support for tasking and concurrency, Scala leverages the Actor model to handle concurrency. Scala's Actor model provides a higher level of abstraction, making it easier to write concurrent and parallel programs.
Type Systems: Ada has a strong and static type system that enforces compile-time checks for type safety. However, Scala has a powerful static type system that also supports type inference, allowing developers to omit type annotations while still maintaining type safety.
Object-Oriented Programming: Ada provides object-oriented programming (OOP) features but with a less expressive syntax compared to Scala. Scala, being a hybrid programming language, seamlessly combines object-oriented and functional programming paradigms, giving developers the freedom to choose the most suitable approach.
Library Ecosystem: Ada has a smaller library ecosystem compared to Scala. Scala, being built on top of the Java Virtual Machine (JVM), inherits the vast Java library ecosystem, including frameworks and tools, which makes it easier to integrate and reuse existing Java code.
Community and Adoption: Ada is widely used in safety-critical domains such as aviation and defense due to its reliability and strong static typing. Scala, on the other hand, has gained popularity in the industry as a general-purpose language, especially in the big data and distributed systems domain.

In summary, Ada and Scala differ in terms of syntax, concurrency models, type systems, programming paradigms, library ecosystems, and industry adoption.