Rnewexclusive offer : Flat 20% off on live classes + 2 free self-paced courses! - SCHEDULE CALL Rnew

- Hadoop Blogs -

Scala VS Python: Which One to Choose for Big Data Projects

Big Data experts have already realized the importance of Spark and Python over Standard JVMs yet there is a common debate on the topic “Which one to choose for big data projects – Scala or Python”. The difference between two may be given based on performance, learning curve, Concurrency, Type Safety, Usability and their advanced features.

The final decision may vary for different data experts as per their convenient level or application type. This is completely the responsibility of Data experts to decide on the best programming language for Apache Spark projects based on functional solutions and efficiency of language.

This is easy to learn both the languages either it is Scala or Python. It allows developers to get productive faster as compared to Java. Scala is often given preference for Apache Spark as compared to Python. The reasons may be different for different data experts. Here, we will give you a quick tour for both of the languages to understand them deeply and choose the best one based on your project requirements. Scala vs. Python Differentiating Scala and Python based on Performance

Scala is ten times faster than Python because of the presence of Java Virtual Machine while Python is slower in terms of performance for data analysis and effective data processing. Python first calls to Spark libraries that involves voluminous code processing and performance goes slower automatically.

At the same time, Scala is good when the number of cores is limited. If they increase in the count, then Scala also start behaving strangely and not liked by the professionals. Here, the question comes performance should be decided based on cores or data processing. Obviously, data processing should be taken as a major deciding factor for performance and there is no doubt that Scala delivers better performance than python for big data Apache Spark projects.

Differentiating Scala and Python based on the Learning Curve

Read: What is Hadoop and How Does it Work?

The syntax for Scala is a little bit tricky while Python is easy to learn due to simple syntax and standard libraries.Data professionals have to be extremely cautious while working with Scala. The syntax errors are quite common that can make you crazy sometimes. The libraries are hard to define and they are difficult to be understood by beginners or new programmers.

For a professional developer, not only syntax, but code readability is also taken utmost requirement. There are only few Scala developers that are able to understand this tough programming for big data projects.

At the same time, Python is easy to learn due to simpler syntax and availability of standard libraries, but it cannot be taken as an ideal choice for highly scalable systems like Twitter or SoundCloud. The above discussion concludes that learning a tough language like Scala not only increases developer efficiency, but optimized overall programming functionality too.

Differentiating Scala and Python based on Concurrency

Based on the complexity of big data systems, there is quick need of programming language that can integrate various database programs or services together. Scala enjoys high preference here offering multiple standard libraries and core that helps in quick integration of databases in the big data ecosystem.

With Scala, developers can write more efficient, maintainable, and readable code with multiple concurrency primitives. At the same time, Python does not support concurrency and multithreading well.If you are using Python for big data projects, there is only one CPU active in the python process during that particular time interval.

Read: How to Compare Hive, Spark, Impala and Presto?

In case, you are interested in deploying new code to the system, then there is an emergency need that multiple processes should be initiated for effective memory management and data processing. Python fails here when it comes to multi-threading and concurrency while Scala has been proved more efficient and easy language to handle these workloads.

Differentiating Scala and Python based on Type Safety

When developing code for Apache Spark projects, it needs to be continuously re-factored by the developers. Scala is a statically-typed language providesan interface to catch compile-time errors. Refactoring code in Scala is hassle-free and easierexperience than a dynamically-typed language likesPython.

Python language is highly prone to bugs every time you make changes to the existing code. This is always better to use Scala for big data projects wherever scalable code is the primary requirement. Python can be used for small-scale projects, but it does not provide the scalable, feature that may affect productivity at the end.

Differentiating Scala and Python based on Usability

When it comes to usability, both Scala and Python are equally expressive and you may achieve desired functionality as required for big data projects. Python is taken more user-friendly language than Scala and it is less verbose too, that makes it easy for the developers to write code in Python for Apache Spark projects. Usability is considered as a subjective factor because it depends on the personal choice of programmer which programming language he likes the most.

Read: MapReduce Interview Questions and Answers

Differentiating Scala and Python based on Advanced Features

Scala has various existential types, implicit, and macros. The syntax with advanced features may be little hard as compared to usual functions. If we talk about the professionals then Scala is always more powerful in terms of framework, libraries, implicit, macros etc.

At the same time, Python is taken primary choice for NLP (Natural Language Processing) while Scala does not have that many tools to work machine learning and NLP. The discussion clearly concludes that it completely depends on the nature of the project and it's processing requirement which programming language you prefer the most. For NLP and machine learning, Python is the best choice while stream, streaming, implicit, macros go well with Scala programming language.

Final words: Scala vs. Python for Big data Apache Spark projects

We would like to hear your opinion on which language you have been preferred for Apache Spark projects and the related benefits and downfalls. Your opinion is highly worth for us that would not only help other professionals in the same world but organizations too in deciding on the best programming language.

Read: How Long Does It Take To Learn hadoop?

fbicons FaceBook twitterTwitter google+Google+ lingedinLinkedIn pinterest Pinterest emailEmail


    JanBask Training

    A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.

  • fb-15
  • twitter-15
  • linkedin-15


Trending Courses

AWS Course


  • AWS & Fundamentals of Linux
  • Amazon Simple Storage Service
  • Elastic Compute Cloud
  • Databases Overview & Amazon Route 53
AWS Course

Upcoming Class

2 days 12 Dec 2023

DevOps Course


  • Intro to DevOps
  • GIT and Maven
  • Jenkins & Ansible
  • Docker and Cloud Computing
DevOps Course

Upcoming Class

1 day 11 Dec 2023

Data Science Course

Data Science

  • Data Science Introduction
  • Hadoop and Spark Overview
  • Python & Intro to R Programming
  • Machine Learning
Data Science Course

Upcoming Class

12 days 22 Dec 2023

Hadoop Course


  • Architecture, HDFS & MapReduce
  • Unix Shell & Apache Pig Installation
  • HIVE Installation & User-Defined Functions
  • SQOOP & Hbase Installation
Hadoop Course

Upcoming Class

6 days 16 Dec 2023

Salesforce Course


  • Salesforce Configuration Introduction
  • Security & Automation Process
  • Sales & Service Cloud
  • Apex Programming, SOQL & SOSL
Salesforce Course

Upcoming Class

5 days 15 Dec 2023

QA Course


  • Introduction and Software Testing
  • Software Test Life Cycle
  • Automation Testing and API Testing
  • Selenium framework development using Testing
QA Course

Upcoming Class

4 days 14 Dec 2023

Business Analyst  Course

Business Analyst

  • BA & Stakeholders Overview
  • BPMN, Requirement Elicitation
  • BA Tools & Design Documents
  • Enterprise Analysis, Agile & Scrum
Business Analyst  Course

Upcoming Class

5 days 15 Dec 2023

MS SQL Server Course

MS SQL Server

  • Introduction & Database Query
  • Programming, Indexes & System Functions
  • SSIS Package Development Procedures
  • SSRS Report Design
MS SQL Server Course

Upcoming Class

6 days 16 Dec 2023

Python Course


  • Features of Python
  • Python Editors and IDEs
  • Data types and Variables
  • Python File Operation
Python Course

Upcoming Class

5 days 15 Dec 2023

Artificial Intelligence  Course

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks
Artificial Intelligence  Course

Upcoming Class

13 days 23 Dec 2023

Machine Learning Course

Machine Learning

  • Introduction to Machine Learning & Python
  • Machine Learning: Supervised Learning
  • Machine Learning: Unsupervised Learning
Machine Learning Course

Upcoming Class

5 days 15 Dec 2023

Tableau Course


  • Introduction to Tableau Desktop
  • Data Transformation Methods
  • Configuring tableau server
  • Integration with R & Hadoop
Tableau Course

Upcoming Class

6 days 16 Dec 2023

Search Posts


Receive Latest Materials and Offers on Hadoop Course