What is Hive SQL?

Is hive a SQL database?

While Hive is a SQL dialect, there are a lot of differences in structure and working of Hive in comparison to relational databases. The differences are mainly because Hive is built on top of the Hadoop ecosystem, and has to comply with the restrictions of Hadoop and MapReduce.

What is hive in ETL?

Hive as an alternative to traditional ELT tools The Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage. Hive is a powerful tool for ETL, data warehousing for Hadoop, and a database for Hadoop.

What exactly is hive?

Hive is an ETL and data warehouse tool on top of Hadoop ecosystem and used for processing structured and semi structured data. Hive is a database present in Hadoop ecosystem performs DDL and DML operations, and it provides flexible query language such as HQL for better querying and processing of data.

Why do we use hive?

Hive allows users to read, write, and manage petabytes of data using SQL. Hive is built on top of Apache Hadoop, which is an open-source framework used to efficiently store and process large datasets. As a result, Hive is closely integrated with Hadoop, and is designed to work quickly on petabytes of data.

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