Apache Arrow
Empowering big data systems with rapid data processing and transfer capabilities through the open-source Apache Arrow project and its in-memory analytics technologies.
Apache Arrow is an open-source project under the Apache Software Foundation that develops in-memory analytics technologies, providing components like Apache Arrow development platform, Gandiva expression compiler, and libraries for multiple languages. Notable achievements include collaborations with Chromium and contributions to various open-source initiatives.
About Apache Arrow
Apache Arrow is an open-source project under the Apache Software Foundation, dedicated to developing in-memory analytics technologies. It offers a collection of components designed to enhance big data systems' ability to process and transfer data rapidly.
The project includes various major components:
- Apache Arrow: A development platform for in-memory analytics, providing C bindings using GLib, C# .NET libraries, Gandiva (an LLVM-based Arrow expression compiler), Go libraries, Java libraries, JavaScript libraries, Python libraries, R libraries, Ruby libraries, and Rust libraries.
- Feature Matrix: A resource that outlines the different stages of implementation for the official Arrow libraries and related features.
- Contribution Guide: Detailed instructions on how to contribute to Apache Arrow or Arrow integrations in other projects.
- Mailing List: A platform for users to join, share ideas, and discuss use cases for the project.
- GitHub Issues: A space where users can follow the team's progress on various development tasks.
- Learn the Format: Information about Arrow's in-memory data format.
- Reference Implementations: Code repositories where developers can contribute to various language-specific libraries.
Notable achievements and partnerships include collaborating with Chromium on fuzzing and contributing to various open-source initiatives.