Audience
Developers and anyone looking for a data warehouse software that facilitates reading, writing, and managing large datasets using SQL
About Apache Hive
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.
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Apache Hive Reviews
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Probability You Would Recommend?1 2 3 4 5 6 7 8 9 10
"Great ETL Solution" Posted 2020-07-09
Pros: Open Source
Easy to learn - similar to SQL
Fast performance
Various data structures supported
Scalable to meet growing demands
Integrates with various tools & databasesCons: Needs more SQL functionalities like subqueries & better optimization for advanced query like joins.
Overall: Apache Hive is a good solution to query and analyze large amount of data. Its ease of use and good performance in handling large amount of data makes it an excellent ETL Solution.
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