Columnar storage format for Hadoop ecosystem
Apache Arrow
Cross-language platform for in-memory columnar data
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
- Category: Data & Analytics
- Pricing: Free — listed in this directory as a free tool, with no paid plan required to use it.
- Focus areas: columnar, in memory, analytics, data format
- Official site: arrow.apache.org
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.
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.
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