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Apache Parquet

Columnar storage format for Hadoop ecosystem

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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

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.

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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.

PData & Analytics

Fast DataFrame library written in Rust

Freedataframerustpythonanalytics
VData & Analytics

Out-of-core DataFrames for exploring large datasets

Freedataframepythonbig-datavisualisation
MData & Analytics

Scale pandas workflows with a drop-in replacement

Freepandasdataframepythonscaling
DData & Analytics

Parallel computing library that scales Python workflows

Freeparallelpythondataframescaling
AData & Analytics

Unified programming model for batch and streaming pipelines

Freepipelinesstreamingbatchmodel
AData & Analytics

Distributed real-time computation system

Freestreamingreal-timedistributedanalytics