What is the difference between Spark SQL and Databricks SQL?

Date:2023-01-07
The main difference between Spark SQL and Databricks SQL is that Spark SQL is an open-source library for structured data processing integrated with Apache Spark, while Databricks SQL is an interactive query language for analyzing data in a structured format that is integrated with the Databricks platform. Spark SQL is limited to processing data from Apache Spark, whereas Databricks SQL can be used to process data from multiple sources, including Apache Spark.
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