Fast DataFrame library written in Rust
Apache Parquet
Columnar storage format for Hadoop ecosystem
About Apache Parquet
An open source column-oriented data file format designed for efficient data storage and retrieval, widely used in data lakes and analytics engines for large datasets. Because the code is openly available, it can be audited, extended and run on private infrastructure, which makes it attractive to teams with privacy or compliance needs. It is commonly adopted through containers or packages, evaluated against commercial alternatives and kept because it solves a focused problem reliably at scale.
Apache Parquet 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, file format, storage, analytics
- Official site: parquet.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 Parquet, it includes Polars, Vaex, Modin, Dask.
More in Data & Analytics
Comparing tools in the Data & Analytics category? These related listings are worth a look: Polars — Fast DataFrame library written in Rust; Vaex — Out-of-core DataFrames for exploring large datasets; Modin — Scale pandas workflows with a drop-in replacement.
Out-of-core DataFrames for exploring large datasets
Scale pandas workflows with a drop-in replacement
Parallel computing library that scales Python workflows
Unified programming model for batch and streaming pipelines
Distributed real-time computation system