Python Vs Scala For Apache Spark

Apache Spark is a well-liked open-source information processing framework. This widely-known big data platform gives a number of thrilling options, equivalent to graph processing, real-time processing, in-memory processing, batch processing and extra rapidly and simply.

With the enlargement of knowledge era, organisations have began utilising these huge quantities of knowledge to realize significant insights. Big data instruments like Apache Spark helps in making sense of the info successfully.   

Choosing a language whereas performing a whole information processing could be a hurdle in the event you have no idea its specs and the way it features. Further information processing processes equivalent to assortment, preparation, processing, interpretation and extra could make it daunting. Two of the preferred languages that builders want are Python and Scala. 

While the previous is most well-liked for its easiness, the latter is most well-liked for its robustness. These languages assist in compressing bigger codes into few traces to finish these duties. In this text, we now have in contrast the 2 standard languages to make it simple so that you can select one for information processing duties utilizing Apache Spark.

Before heading into the comparisons, let’s speak slightly concerning the two languages together with a few of their benefits. 


One of the preferred languages among the many builders, Python is an interpreted, interactive, object-oriented programming language. The language contains many intuitive options and functionalities. Python incorporates modules, exceptions, dynamic typing, very high-level dynamic information sorts, and lessons. 

The language comes with a big commonplace library that covers areas equivalent to string processing together with common expressions, Unicode, web protocols equivalent to HTTP, FTP, SMTP, and many others., software program engineering duties equivalent to unit testing, logging, and extra.


  • Python is moveable which means that it runs on many Unix variants together with Linux, macOS in addition to on Windows.
  • Python is a high-level, general-purpose programming language that may be utilized to many alternative lessons of issues.
  • It helps a number of programming paradigms past object-oriented programmings, equivalent to procedural and useful programming.
  • The language has interfaces to many system calls and libraries, in addition to to numerous window techniques, and is extensible in C or C++.


Scala or SCAlable LAnguage is a Java-like programming language which unifies object-oriented and useful programming. It is a pure object-oriented language that’s designed to specific widespread programming patterns in a concise, elegant, and type-safe method. 

It seamlessly integrates options of object-oriented and useful languages. Scala gives a light-weight syntax for outlining nameless features. It helps higher-order features in addition to permits features to be nested and helps a number of parameter lists. 


  • The static sorts in Scala assist keep away from bugs in advanced functions.
  • It’s Java Virtual Machine (JVM), and JavaScript runtimes let a developer construct high-performance techniques with easy accessibility to very large ecosystems of libraries.
  • The language combines the pliability of Java-style interfaces with the facility of lessons.
  • In Scala, a number of traits will be combined into a category to mix their interface and their behaviour.
  • The sort system of Scala helps generic lessons, variance annotations, summary sort members, compound sorts and extra.

Which One To Choose?

Language in Spark

One of the numerous advantages of Scala is that Apache Spark is written within the Scala language. This signifies that with the intention to perceive the ins and outs of this big data platform and dive deeper into the supply code, one should have the information of Scala language. 

Scala wins right here!

Implementation of Code

Python is an interpreted language, which suggests it immediately executes the code by changing it into an intermediate code, often called the byte code. During compilation of codes, one can simply use the textual content editor to edit adjustments after which re-execute it. 

On the opposite hand, Scala is a compiled language and runs on prime of Java Virtual Machine, which signifies that one can not make adjustments into the codes and re-execute it by simply opening the textual content editor.

Python wins right here!

See Also

Real-Time Operations  

In real-time operations, an interpreted language like Python is normally not sooner sufficient to deal with the interrupts or will be mentioned because the real-time response within the sub-micron seconds. While when it comes to sizing, Scala runs in JVM and has the privilege of {hardware} structure to make use of the meeting codes in a direct and fast method.

Scala wins right here!


Talking about libraries, Python is the winner right here indisputably. The language is well-known for a lot of causes together with its availability of intensive libraries, user-friendly and the huge neighborhood of builders. 

Python wins right here!


Scala is claimed to be simpler to study than Python and can be sooner than Python language with velocity 10 instances sooner than Python.

Scala wins right here!

Type of Projects

Scala is a static-typed language, which suggests sort checking is finished at compile-time. This makes the language a good choice whereas working with massive initiatives. On the opposite hand, Python is a dynamically typed language and is appropriate principally for small-scale initiatives.

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Ambika Choudhury

Ambika Choudhury

A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and studying one thing out of the field. Contact:


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