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Apache Arrow DataFusion vs Apache Hive

Both stand on query engine software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Apache Arrow DataFusion

Free plan LinuxMacSelf-hosted

DataFusion offers a customizable query engine with a broad set of built-in formats and runtime controls. Its core is intended for in-process use, while distributed processing is handled by the related Ballista project.

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Apache Hive

Free plan Open source APILinuxMac+2

Apache Hive combines SQL data warehousing with metadata services, transaction support, and connections to multiple storage systems. Check the release-specific prerequisites before choosing a version, particularly if you are considering the end-of-life 3.x line.

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The facts

Apache Arrow DataFusionApache Hive
Free planYesYes
Open sourceNot publishedYes
Runs onLinux, Mac, Self-hostedAPI, Linux, Mac, Self-hosted, Windows
Lowest paid planFree or on requestFree or on request
Plans published11
MakerNot publishedNot published
Websitedatafusion.apache.orghive.apache.org
On query engine software#5 of 28#1 of 28

Apache Arrow DataFusion: what it does well

  • Free open-source project with SQL and DataFrame APIs.
  • Supports parallel and streaming query execution.
  • Reads CSV, Parquet, JSON, Avro, and Arrow.
  • Enforces memory limits and supports disk spilling.

What to know first

  • Core project is designed for in-process use.
  • Official Apache releases are source artifacts.

Apache Hive: what it does well

  • Free and open-source data warehouse software.
  • Supports large datasets with SQL.
  • JDBC and ODBC clients connect through HiveServer2.
  • Supports Iceberg tables through its StorageHandler.
  • Offers fine-grained access control and audit logging.

What to know first

  • The 3.x release line is end of life.
  • Hive 4.2.x requires JDK 21 at minimum.
  • Current prerequisites also list Hadoop 3.3.6 and Tez.

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