At its core, Arrow was designed for high-performance analytics and supports efficient analytic operations on modern hardware like CPUs and GPUs with lightning-fast data access.

It offers a standardized, language-agnostic specification for representing structured, table-like datasets in-memory.

Here’s a great overview.

To support cross-language development, Arrow currently works with popular languages such as C, Go, Java, JavaScript, Python, R, Ruby, among others. The project also includes a query engine that works with Arrow data called DataFusion that is written in Rust.

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