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Apache Arrow
============

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. It specifies a standardized language-independent columnar memory format
for flat and hierarchical data, organized for efficient analytic operations on
modern hardware.

The project is developing a multi-language collection of libraries for solving
systems problems related to in-memory analytical data processing. This includes
such topics as:

* Zero-copy shared memory and RPC-based data movement
* Reading and writing file formats (like CSV, Apache ORC, and Apache Parquet)
* In-memory analytics and query processing

.. _toc.columnar:

.. toctree::
   :maxdepth: 2
   :caption: Arrow Specifications and Protocols

   format/Versioning
   format/Columnar
   format/Flight
   format/Integration
   format/CDataInterface
   format/Other

.. _toc.usage:

.. toctree::
   :maxdepth: 2
   :caption: Arrow Libraries

   cpp/index
   python/index
   Java <https://arrow.apache.org/docs/java/>
   C GLib <https://arrow.apache.org/docs/c_glib/>
   JavaScript <https://arrow.apache.org/docs/js/>
   R <https://arrow.apache.org/docs/r/>

.. _toc.development:

.. toctree::
   :maxdepth: 2
   :caption: Development and Contributing

   developers/contributing
   developers/cpp/index
   developers/python
   developers/integration
   developers/crossbow
   developers/benchmarks
   developers/documentation