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Scala vs Spring: What are the differences?

Scala: A pure-bred object-oriented language that runs on the JVM. 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; Spring: Provides a comprehensive programming and configuration model for modern Java-based enterprise applications. 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 belongs to "Languages" category of the tech stack, while Spring can be primarily classified under "Frameworks (Full Stack)".

"Static typing", "Jvm" and "Pattern-matching" are the key factors why developers consider Scala; whereas "Java", "Open source" and "Great community" are the primary reasons why Spring is favored.

Scala and Spring are both open source tools. Spring with 30.1K GitHub stars and 19.2K forks on GitHub appears to be more popular than Scala with 11.8K GitHub stars and 2.73K GitHub forks.

9GAG, Asana, and Groupon are some of the popular companies that use Scala, whereas Spring is used by Intuit, Fitbit, and BillGuard. Scala has a broader approval, being mentioned in 436 company stacks & 315 developers stacks; compared to Spring, which is listed in 316 company stacks and 179 developer stacks.

Advice on Scala and Spring
Needs advice
on
DjangoDjango
and
SpringSpring

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

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Replies (5)
Recommends
SpringSpring

Kamrul Hasan, Don't choose dying technologies with small communities. How many startups do you think use Spring and Django? Use Google Trends to compare technologies. Study the StackOverflow developer survey and job websites to see what technologies are wanted. Few teams can afford to train you to get up to their level so be a life-long learner. Embrace the dawn of a new industry and become an expert.

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Sulaiman Sanusi
Recommends
SpringSpring

I recommend you stick to Java Spring as you already have experience with the technology, i suggest you master this technology and then if Django seam to be very interesting to you, django is a framework you can easily pickup as python is also easy, you have to probably be able to manage the context switching between a static typed language like Java to dynamic language like python

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Christoph Becker
Recommends
DjangoDjangoSpringSpring

It depends on what you want. Spring is Java-based whereas Django is Python-based. The question rather is Java vs Python. I personally recommend Python as it's shorter and easy to learn. But Java has advantages in really big systems.

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Gonzalo Fernández
Recommends

Hi Kamrul,

It really depends on the kind of project and whether you feel more comfortable with Java or Python. Both are excellent frameworks, with a huge community and learning material. I've been working with Spring Boot since I started coding almost and I can assure you it's the perfect combination for Java. The learning curve may be harder that Django, but once you know the basics you're good to go. I can't tell you much about Django but you must now by now that it has a great reputation with Python users. In any case I don't think you can go wrong with any of these two. My advice is, if you are already familiar with the Spring framework, give Spring Boot a try, because you're going to find out that it just makes the whole Spring experience so much easier. Let us know what you chose!

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Recommends
DjangoDjango

Both are in active development and had huge community support. It really depends on you what you are comfortable with. Both are married to their respective languages. I choose Python over Java because of its simplicity and readability. To develop in java you need to write a lot of code. That's how java is. The best part I love with Django is its synchronization with Databases.

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Needs advice
on
GolangGolangNode.jsNode.js
and
ScalaScala

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)

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Replies (1)
David Annez
Head of Engineering at loveholidays · | 4 upvotes · 228.8K views

I've picked Node.js here but honestly it's a toss up between that and Go around this. It really depends on your background and skillset around "get something going fast" for one of these languages. Based on not knowing that I've suggested Node because it can be easier to prototype quickly and built right is performant enough. The scaffolding provided around Node.js services (Koa, Restify, NestJS) means you can get up and running pretty easily. It's important to note that the tooling surrounding this is good also, such as tracing, metrics et al (important when you're building production ready services).

You'll get more scalability and perf from go, but balancing them out I would say that you'll get pretty far with a well built Node.JS service (our entire site with over 1.5k requests/m scales easily and holds it's own with 4 pods in production.

Without knowing the scale you are building for and the systems you are using around it it's hard to say for certain this is the right route.

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Decisions about Scala and Spring

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.

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Pros of Scala
Pros of Spring
  • 186
    Static typing
  • 179
    Pattern-matching
  • 177
    Jvm
  • 172
    Scala is fun
  • 138
    Types
  • 95
    Concurrency
  • 88
    Actor library
  • 86
    Solve functional problems
  • 83
    Open source
  • 80
    Solve concurrency in a safer way
  • 44
    Functional
  • 24
    Fast
  • 23
    Generics
  • 18
    It makes me a better engineer
  • 17
    Syntactic sugar
  • 13
    Scalable
  • 10
    First-class functions
  • 10
    Type safety
  • 9
    Interactive REPL
  • 8
    Expressive
  • 7
    SBT
  • 6
    Implicit parameters
  • 6
    Case classes
  • 4
    Used by Twitter
  • 4
    JVM, OOP and Functional programming, and static typing
  • 4
    Rapid and Safe Development using Functional Programming
  • 4
    Object-oriented
  • 3
    Functional Proframming
  • 2
    Spark
  • 2
    Beautiful Code
  • 2
    Safety
  • 2
    Growing Community
  • 1
    DSL
  • 1
    Rich Static Types System and great Concurrency support
  • 1
    Naturally enforce high code quality
  • 1
    Akka Streams
  • 1
    Akka
  • 1
    Reactive Streams
  • 1
    Easy embedded DSLs
  • 1
    Mill build tool
  • 0
    Freedom to choose the right tools for a job
  • 226
    Java
  • 156
    Open source
  • 134
    Great community
  • 122
    Very powerful
  • 114
    Enterprise
  • 64
    Lot of great subprojects
  • 59
    Easy setup
  • 44
    Convention , configuration, done
  • 40
    Standard
  • 30
    Love the logic
  • 12
    Good documentation
  • 11
    Dependency injection
  • 10
    Stability
  • 8
    MVC
  • 6
    Easy
  • 3
    Makes the hard stuff fun & the easy stuff automatic
  • 3
    Strong typing
  • 2
    Code maintenance
  • 2
    Best practices
  • 2
    Maven
  • 2
    Great Desgin
  • 2
    Easy Integration with Spring Security
  • 2
    Integrations with most other Java frameworks
  • 1
    Java has more support and more libraries
  • 1
    Supports vast databases
  • 1
    Large ecosystem with seamless integration
  • 1
    OracleDb integration
  • 1
    Live project

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Cons of Scala
Cons of Spring
  • 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
  • 15
    Draws you into its own ecosystem and bloat
  • 3
    Verbose configuration
  • 3
    Poor documentation
  • 3
    Java
  • 2
    Java is more verbose language in compare to python

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What is 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.

What is Spring?

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.

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What companies use Scala?
What companies use Spring?
See which teams inside your own company are using Scala or Spring.
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What tools integrate with Scala?
What tools integrate with Spring?

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Blog Posts

Aug 28 2019 at 3:10AM

Segment

PythonJavaAmazon S3+16
7
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DockerAmazon EC2Scala+8
6
2345
What are some alternatives to Scala and Spring?
Kotlin
Kotlin is a statically typed programming language for the JVM, Android and the browser, 100% interoperable with Java
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.
Clojure
Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.
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.
See all alternatives