Scala vs Spring

Overview

Spring

Stacks3.9K

Followers4.8K

Votes1.1K

GitHub Stars59.1K

Forks38.8K

Scala

Stacks11.9K

Followers7.8K

Votes1.5K

GitHub Stars14.4K

Forks3.1K

Scala vs Spring: What are the differences?

Language vs. Framework: Scala is a programming language, whereas Spring is a framework for building Java applications. Scala provides language features that allow developers to write concise, expressive code, while Spring provides a set of libraries and tools to simplify enterprise application development.
Programming Paradigms: Scala supports both object-oriented and functional programming paradigms, making it versatile and flexible for different coding styles. In contrast, Spring adheres to the object-oriented programming paradigm and provides components for building robust and scalable Java applications.
Community and Ecosystem: Scala has a smaller community compared to Spring, which has a vast and active community of developers and contributors. Spring offers a comprehensive ecosystem of tools, extensions, and integrations that enhance the development experience, while Scala's ecosystem is more focused on functional programming and type safety.
Type System: Scala has a powerful and expressive type system that allows developers to write concise and safe code, leveraging features like type inference and pattern matching. Spring, being a Java framework, inherits Java's type system, which provides strong typing and compile-time checks for ensuring code correctness.
Concurrency and Parallelism: Scala provides native support for concurrency and parallelism through features like actors and futures, making it suitable for building high-performance and scalable systems. Spring, on the other hand, relies on Java's concurrency utilities for handling asynchronous and multithreaded operations, offering a more traditional approach to concurrency management.
Learning Curve: Scala's syntax and functional programming concepts may pose a steep learning curve for developers transitioning from object-oriented languages, whereas Spring's documentation and widespread adoption in the industry make it relatively easier for Java developers to learn and use effectively in enterprise projects.

In Summary, Scala and Spring differ in their nature as a language and framework, their programming paradigms, community support, type systems, concurrency handling, and learning curves.

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Advice on Spring, Scala

Kamrul

Aug 16, 2020

Needs adviceon

Django

Spring Boot

I am a graduate student working as a software engineer in a company. For my personal development, I want to learn web development. I have some experience in Springboot while I was in university. So I want to continue with spring-boot, but I heard about Django. I'm reaching out to the experts here to help me choose a future proof framework. Django or Spring Boot?

Thanks in Advance

502k views502k

Comments

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

Comments

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

Spring	Scala
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.	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 59.1K	GitHub Stars 14.4K
GitHub Forks 38.8K	GitHub Forks 3.1K
Stacks 3.9K	Stacks 11.9K
Followers 4.8K	Followers 7.8K
Votes 1.1K	Votes 1.5K
Pros & Cons
Pros 230 Java 157 Open source 136 Great community 123 Very powerful 114 Enterprise Cons 15 Draws you into its own ecosystem and bloat 4 Poor documentation 3 Java 3 Verbose configuration 2 Java is more verbose language in compare to python	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
Java	Java

What are some alternatives to Spring, Scala?

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

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.

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

PHP

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

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

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.

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

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.

Related Comparisons

Scala vs Spring: What are the differences?

Language vs. Framework: Scala is a programming language, whereas Spring is a framework for building Java applications. Scala provides language features that allow developers to write concise, expressive code, while Spring provides a set of libraries and tools to simplify enterprise application development.
Programming Paradigms: Scala supports both object-oriented and functional programming paradigms, making it versatile and flexible for different coding styles. In contrast, Spring adheres to the object-oriented programming paradigm and provides components for building robust and scalable Java applications.
Community and Ecosystem: Scala has a smaller community compared to Spring, which has a vast and active community of developers and contributors. Spring offers a comprehensive ecosystem of tools, extensions, and integrations that enhance the development experience, while Scala's ecosystem is more focused on functional programming and type safety.
Type System: Scala has a powerful and expressive type system that allows developers to write concise and safe code, leveraging features like type inference and pattern matching. Spring, being a Java framework, inherits Java's type system, which provides strong typing and compile-time checks for ensuring code correctness.
Concurrency and Parallelism: Scala provides native support for concurrency and parallelism through features like actors and futures, making it suitable for building high-performance and scalable systems. Spring, on the other hand, relies on Java's concurrency utilities for handling asynchronous and multithreaded operations, offering a more traditional approach to concurrency management.
Learning Curve: Scala's syntax and functional programming concepts may pose a steep learning curve for developers transitioning from object-oriented languages, whereas Spring's documentation and widespread adoption in the industry make it relatively easier for Java developers to learn and use effectively in enterprise projects.

In Summary, Scala and Spring differ in their nature as a language and framework, their programming paradigms, community support, type systems, concurrency handling, and learning curves.

Scala vs Spring

Overview