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SBT vs Scala: What are the differences?
- Compilation: One key difference between SBT and Scala is that SBT is a build tool used specifically for compiling and managing Scala projects, while Scala is the programming language itself.
- Dependency Management: SBT provides comprehensive dependency management functionality for Scala projects, allowing easy integration of external libraries, whereas Scala language itself does not have built-in dependency management capabilities.
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Build Configuration: SBT uses a configuration file named
build.sbt
to define project settings, dependencies, and tasks, while Scala does not require a separate build configuration file as it is an independent programming language. - Task Execution: SBT allows developers to define and execute custom tasks within the build process, providing flexibility in automating various build steps, whereas Scala focuses on defining the logic of the application without directly managing build tasks.
- Incremental Compilation: SBT offers incremental compilation, which speeds up the build process by recompiling only the modified source files, leading to faster development iterations, whereas Scala as a language does not inherently provide features related to incremental compilation.
- Project Structure: SBT enforces a specific project structure convention for Scala projects, organizing source code, resources, and tests in predefined directories, while Scala, being a language, does not impose any particular project structure on developers.
In Summary, SBT is a build tool tailored for Scala projects, offering features such as dependency management, task execution, and incremental compilation, distinct from the Scala programming language itself.
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 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 SBT
- Support for publishing artifacts in Maven, Ivy formats1
- Works across Windows, Linux and MacOS1
- Support for Zinc and BSP1
- No Breaking Changes1
- Best for Mono-Repo and Multi-Project builds1
- Preference option to build Mix Scala-Java Projects1
- IntelliJ support1
- Continuous compilation1
- Flexible1
- Dependency manageemnt1
- Incremental Builds1
Pros of Scala
- Static typing187
- Pattern-matching178
- Jvm177
- Scala is fun172
- Types138
- Concurrency95
- Actor library88
- Solve functional problems86
- Open source81
- Solve concurrency in a safer way80
- Functional44
- Fast24
- Generics23
- It makes me a better engineer18
- Syntactic sugar17
- Scalable13
- First-class functions10
- Type safety10
- Interactive REPL9
- Expressive8
- SBT7
- Case classes6
- Implicit parameters6
- Rapid and Safe Development using Functional Programming4
- JVM, OOP and Functional programming, and static typing4
- Object-oriented4
- Used by Twitter4
- Functional Proframming3
- Spark2
- Beautiful Code2
- Safety2
- Growing Community2
- DSL1
- Rich Static Types System and great Concurrency support1
- Naturally enforce high code quality1
- Akka Streams1
- Akka1
- Reactive Streams1
- Easy embedded DSLs1
- Mill build tool1
- Freedom to choose the right tools for a job0
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Cons of SBT
- Learning Curve is a bit steep1
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