Answer Posted / Garib Nath Yadav
Spark SQL is an API for programming with structured data in Apache Spark. It provides a SQL interface to manipulate the data, allowing developers to leverage SQL queries for large-scale data processing. On the other hand, Apache Hive is a data warehouse software project that facilitates reading, writing, and managing large datasets stored in various files using SQL. The main difference between the two lies in their underlying architecture: Spark SQL runs on top of RDDs, while Hive runs on top of Hadoop's MapReduce.
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