It has a thriving open-source community and is the most active Apache project at the moment. Spark provides a faster and more general data processing platform. Spark lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop.

Do we need spark?

Spark considered being an excellent tool for use cases like ETL of a large amount of a dataset, analyzing a large set of data files, Machine learning, and data science to a large dataset, connecting BI/Visualization tools, etc.

How is Spark used in data science?

In-memory computing – Spark stores the data in the RAM of servers which allows quick access and in turn accelerates the speed of analytics. Real-time processing – Spark is able to process real-time streaming data. … Apache Spark consists of a rich set of SQL queries, machine learning algorithms, complex analytics, etc.