Spark SQL differs from traditional SQL in several ways. One of the main differences is that Spark SQL can handle larger amounts of data more efficiently than traditional SQL because it can process data in parallel across a cluster of machines. Additionally, Spark SQL provides support for a wider range of data sources, including structured and semi-structured data, as well as the ability to perform advanced analytics, such as machine learning, graph processing, and stream processing.
