| Apache Arrow | |
|---|---|
| Developer(s) | Apache Software Foundation |
| Initial release | October 10, 2016 |
| Stable release | 20.0.0[1] 
/ 27 April 2025 |
| Repository | github |
| Written in | C, C++, C#, Go, Java, JavaScript, MATLAB, Python, R, Ruby, Rust |
| Type | Data format, algorithms |
| License | Apache License 2.0 |
| Website | arrow |
Apache Arrow is a language-agnostic software framework for developing data analytics applications that process columnar data. It contains a standardized column-oriented memory format that is able to represent flat and hierarchical data for efficient analytic operations on modern CPU and GPU hardware.[2][3][4][5][6] This reduces or eliminates factors that limit the feasibility of working with large sets of data, such as the cost, volatility, or physical constraints of dynamic random-access memory.[7]
- ^ "Release Apache Arrow 20.0.0". 27 April 2025. Retrieved 7 May 2025.
- ^ "Apache Arrow and Distributed Compute with Kubernetes". 13 Dec 2018.
- ^ Baer, Tony (17 February 2016). "Apache Arrow: Lining Up The Ducks In A Row... Or Column". Seeking Alpha.
- ^ Baer, Tony (25 February 2019). "Apache Arrow: The little data accelerator that could". ZDNet.
- ^ Hall, Susan (23 February 2016). "Apache Arrow's Columnar Layouts of Data Could Accelerate Hadoop, Spark". The New Stack.
- ^ Yegulalp, Serdar (27 February 2016). "Apache Arrow aims to speed access to big data". InfoWorld.
- ^ Cite error: The named reference
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