Need advice about which tool to choose?Ask the StackShare community!
Clojure vs Scala: What are the differences?
Clojure: A dynamic programming language that targets the Java Virtual Machine. 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; 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.
Clojure and Scala belong to "Languages" category of the tech stack.
"It is a lisp", "Concise syntax" and "Persistent data structures" are the key factors why developers consider Clojure; whereas "Static typing", "Jvm" and "Pattern-matching" are the primary reasons why Scala is favored.
Clojure and Scala are both open source tools. It seems that Scala with 11.8K GitHub stars and 2.75K forks on GitHub has more adoption than Clojure with 7.85K GitHub stars and 1.25K GitHub forks.
According to the StackShare community, Scala has a broader approval, being mentioned in 437 company stacks & 324 developers stacks; compared to Clojure, which is listed in 95 company stacks and 80 developer stacks.
Edit: Kotlin was originally on this list but I removed it since I had no interest in Android
Clojure is a Lisp dialect, so if you like Lisp that's probably the way to go. Scala is more popular and broadly used, and has a larger job market especially for data engineering. Both are functional but Scala is more interoperable with Java libraries, probably a big factor in its popularity. I prefer Scala for a number of reasons, but in terms of jobs Scala is the clear leader.
Scala has more momentum. It is good for back-end programming. The popular big data framework Spark is written in Scala. Spark is a marketable skill.
If you need to program something very dynamic like old school A.I., Clojure is attractive. You would chose Scala if prefer a statically typed language, and Clojure if you prefer a dynamically typed language.
It's not clear exactly what you mean by "high money", you mean financial support to the language, money paid for a job, economic health of the market the language is positioned on?
In any case, it's very hard to give any advice here, since you'd need to provide details on the intended usage, what sector, kind of product/service, team size, potential customer type... Both languages are very general purpose and decently supported, each have its own pros and cons, both are functional as approach, and neither is really mainstream.
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)
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.
We're moving from Java to Kotlin with our Microservice Stack (Spring Boot) because it is excellently supported by framework and tools and the learning curve is not very steep Kotlin is way more straightforward and convenient to use while providing less boilerplate and more strictness, which finally leads to better code, which is more readable, maintainable and less error-prone. We especially like Kotlin's (functional) data structures, which are, e.g. compared to Scala, easier to understand and don't require deep knowledge in functional programming.
I am working in the domain of big data and machine learning. I am helping companies with bringing their machine learning models to the production. In many projects there is a tendency to port Python, PySpark code to Scala and Scala Spark.
This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Also many libraries/apis that data scientists/machine learning practitioners use are not available in jvm ecosystem.
Simply, refactoring (if necessary) and organising the code of the data scientists by following best practices of software development is less error prone and faster comparing to re-write in Scala.
Pipeline orchestration tools such as Luigi/Airflow is python native and fits well to this picture.
I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. However cost/benefit of time consumed porting python code to java/scala alone would be enough as a counter-argument. ML pipelines rarerly contains a lot of code (if that is not the case, such as complex domain and significant amount of code, then scala would be a better fit).
In terms of performance, I did not see any issues with Python. It is not the fastest runtime around but ML applications are rarely time-critical (majority of them is batch based).
I still prefer Scala for developing APIs and for applications where the domain contains complex logic.
We’re a new startup so we need to be able to deliver quick changes as we find our product market fit. We’ve also got to ensure that we’re moving money safely, and keeping perfect records. The technologies we’ve chosen mix mature but well maintained frameworks like Django, with modern web-first and api-first front ends like GraphQL, NextJS, and Chakra. We use a little Golang sparingly in our backend to ensure that when we interact with financial services, we do so with statically compiled, strongly typed, and strictly limited and reviewed code.
You can read all about it in our linked blog post.
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.
Pros of Clojure
- It is a lisp118
- Persistent data structures101
- Concise syntax100
- jvm-based language90
- Interactive repl82
- Code is data76
- Lazy data structures61
- Open source61
- Immutable by default22
- Excellent collections19
- Fast-growing community18
- Multiple host languages14
- Practical Lisp14
- Simple (not easy!)14
- Because it's really fun to use9
- Web friendly8
- Rapid development8
- It creates Reusable code8
- Java interop6
- Programmable programming language5
- Regained interest in programming4
- Share a lot of code with clojurescript/use on frontend2
Pros of Scala
- Static typing186
- Scala is fun172
- Actor library88
- Solve functional problems86
- Open source83
- Solve concurrency in a safer way80
- It makes me a better engineer18
- Syntactic sugar17
- First-class functions10
- Type safety10
- Interactive REPL9
- Implicit parameters6
- Case classes6
- Used by Twitter4
- JVM, OOP and Functional programming, and static typing4
- Rapid and Safe Development using Functional Programming4
- Functional Proframming3
- Beautiful Code2
- Growing Community2
- Rich Static Types System and great Concurrency support1
- Naturally enforce high code quality1
- Akka Streams1
- Reactive Streams1
- Easy embedded DSLs1
- Mill build tool1
- Freedom to choose the right tools for a job0
Sign up to add or upvote prosMake informed product decisions
Cons of Clojure
- Cryptic stacktraces9
- Need to wrap basically every java lib4
- Toxic community4
- Good code heavily relies on local conventions3
- Slow application startup2
- Tonns of abandonware2
- Usable only with REPL1
- Hiring issues1
- Bad documented libs1
- Macros are overused by devs1
- Tricky profiling1
- IDE with high learning curve1
- Configuration bolierplate1
- Conservative community1
- Have no good and fast fmt0
Cons of Scala
- Slow compilation time11
- Multiple ropes and styles to hang your self7
- Too few developers available6
- Complicated subtyping4
- My coworkers using scala are racist against other stuff2
Sign up to add or upvote consMake informed product decisions
What is Clojure?
What is Scala?
Need advice about which tool to choose?Ask the StackShare community!
What companies use Scala?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Clojure?
Sign up to get full access to all the tool integrationsMake informed product decisions