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Hadoop Tutorial

Features Of Apache Hive

Apache Hive has many exciting features. Let's discuss them one by one:

  • Hive provides data summarization, analysis, and query in a much more relaxed manner.

  • Hive supports different external tables which make it possible to analyze data without actually storing in Hadoop File System.

  • Apache Hive fits perfectly with Hadoop's low-level interface specification.

  • It also supports the partitioning of data at the level of tables to improve performance.

  • Hive has a rule-based optimizer to optimize logical plans.

  • It is familiar, scalable, and extensible.

  • Using HiveQL doesn't require any expertise of programming language, Knowledge of basic SQL queries is enough. 

  • We can efficiently process structured data in Hadoop using Hive.

  • Querying in Hive is very straightforward as it is a SQL like a language.

  • We can also run Ad-hoc data analysis queries using Hive.