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Developer ToolsAlternative to Protocol BuffersAlternative to FeatherAlternative to Parquet

Apache Arrow

Cross-language development platform for in-memory columnar big data analytics.

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LicenseApache-2.0
GitHub stars14.5k
Last commit1 weeks ago
Tags5 topics
Apache ArrowBig Data AnalyticsZero Copy InterchangeDeveloper ToolsColumnar Memory Format
Overview

Why consider Apache Arrow?

Apache Arrow is an open-source development platform for in-memory columnar data written in C++, Rust, Go, Python, and Java. Arrow standardizes in-memory flat and hierarchical data structures, enabling zero-copy data sharing between analytics engines and machine learning frameworks.

Guided learning

Learn Apache Arrow by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Apache Arrow

Apache Arrow provides a universal columnar memory layout that eliminates serialization overhead.

Quickstart

bash
1pip install pyarrow

Apache Arrow is licensed under the Apache License Version 2.0.

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Apache Arrow FAQs

Apache Arrow is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Apache Arrow is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Apache Arrow is listed as an alternative to Protocol Buffers. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.