Features of Spark for Data Science | Intellipaat

Streaming in real time
There is an improvement over older platforms such as Hadoop with the help of Spark. That is, instead of batch files, Spark allows data to be processed in real-time as data streams.

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Multiple Language Support
Spark provides a wide range of dynamic functionalities via several programmable APIs in Java, R, and Python. This enables it to be programmed in a variety of languages other than Java.

Simple Hadoop Integration
Spark has several critical features that enable it to connect to Hadoop Clusters. This enables Spark to be a cost-effective option for upgrading infrastructure that would otherwise cost industries a fortune.