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apache / arrow / f533bc539e9ce4342d1b04966a7cd6aa5c1a1412
commitf533bc539e9ce4342d1b04966a7cd6aa5c1a1412[log] [tgz]
authorKrisztián Szűcs <szucs.krisztian@gmail.com>Tue Jul 16 22:59:13 2019 +0200
committerKrisztián Szűcs <szucs.krisztian@gmail.com>Tue Jul 16 22:59:13 2019 +0200
tree3624c1bda240e9e9e9d341b9258acbabd63b668a
parent6c8ad0b2d205d8a2fe75a8750ea639e9a7fd88ea [diff]
[Release] Set Maven versions to 0.14.1
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README.md

Apache Arrow

Build Status Coverage Status License Twitter Follow

Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain a number of distinct software components:

  • Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
  • Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
  • Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
  • IO interfaces to local and remote filesystems
  • Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
  • Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
  • Conversions to and from other in-memory data structures

How to Contribute

Please read our latest project contribution guide.

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: