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Apache Arrow

Cross-language platform for in-memory columnar data

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About Apache Arrow

A development platform for in-memory analytics, defining a standard columnar memory format for flat and hierarchical data that enables efficient exchange between systems and languages. It is free and open source, so teams can self-host it, inspect the code and adapt it to their own infrastructure without licence fees or vendor lock-in. Typical users run it alongside existing workflows to cut manual effort, improve visibility and keep full control over data, configuration and upgrades over time.

Apache Arrow key facts

About the Data & Analytics category

Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside Apache Arrow, it includes Apache Parquet, Polars, Vaex, Modin.

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More in Data & Analytics

Comparing tools in the Data & Analytics category? These related listings are worth a look: Apache Parquet — Columnar storage format for Hadoop ecosystem; Polars — Fast DataFrame library written in Rust; Vaex — Out-of-core DataFrames for exploring large datasets.

AData & Analytics

Columnar storage format for Hadoop ecosystem

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PData & Analytics

Fast DataFrame library written in Rust

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VData & Analytics

Out-of-core DataFrames for exploring large datasets

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MData & Analytics

Scale pandas workflows with a drop-in replacement

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DData & Analytics

Parallel computing library that scales Python workflows

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AData & Analytics

Unified programming model for batch and streaming pipelines

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