Answer / Sachin Mishra

Hive and Spark SQL are both SQL-like querying systems built on top of Apache Hadoop. However, they have several differences: 1. Data Storage: Hive stores data in HDFS, while Spark SQL can work with a variety of data sources including HDFS, Cassandra, and S3. 2. Query Execution: Hive compiles queries into MapReduce jobs, while Spark SQL uses Spark's distributed data processing engine (RDD or DataFrame). 3. Performance: Spark SQL is generally faster than Hive due to its in-memory computation and better query optimization.

What is bag?

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