Scala is functional as well as an object-oriented programming language. It runs on JVM and JavaScript, thus making the processing faster.

Highlights of Scala:

In Scala, we can combine the interface and behavior of numerous characteristics into a single class and the structural data types are represented by case classes.

Variance annotations, abstract type members, compound types, generic classes are some of the features supported by Scala.

Scala has a simple structure and it supports big data processing well as compared to Python.

The Scala Library Index (Scaladex) is a map of all Scala libraries that have been released. A developer may search over 175,000 Scala library releases.

Advantages:

Spark is written in Scala: Scala is the primary language in which the Spark framework has been written. It’s also scalable on JVM.

Less Difficult: Coding using Scala is easier compared to Java — 20–25 lines of Java could could be converted to 1–2 lines in Scala. Java libraries could be used in the Scala language directly.

Popularity: Big companies and organizations have already started using Scala for Spark in order to perform tasks faster on a very large-scale dataset. Low-latency solutions are available for big institutions and organizations using Scala language.

Parallelism and Concurrency: The architecture of Scala makes it ideal for both of these sorts of calculations. Frameworks like Akka, Lift, and Play, assist programmers in creating better JVM applications.