Parquet Reader is a free desktop app that lets you open and read Apache Parquet files instantly. 

No Python, no CLI, no notebooks. Double-click your file and see the data.

Built for data engineers, analysts, and anyone who works with columnar data daily. Parquet Reader removes the friction from inspecting and validating data files.

Open any Parquet file and preview its contents in seconds. Browse rows, search values, and sort columns without writing a single line of code.

Run SQL queries directly on your files to filter, aggregate, and explore data without setting up any external tools or databases.

Right-click any column to get instant statistics, including min, max, null counts, and distinct values. Spot data quality issues before they reach production.

Inspect nested schemas, check column types, and validate file structure across partitioned datasets.

Everything runs locally on your device. No cloud uploads, no tracking, no account required. Your data stays private.

Available natively on macOS (Intel and Apple Silicon, including Mac App Store), Windows (x64, x86, MSI), and Linux (x64, ARM64, AppImage, .deb, .rpm).

Parquet Reader was created by a data engineer who needed a faster way to preview and validate files during everyday pipeline work. Every feature comes from real data engineering workflows.

Whether you are building pipelines, validating ETL outputs, debugging schema mismatches, or just need to check a file someone shared with you quickly, Parquet Reader gets you from file to insight in seconds.

Thousands of data professionals already use it daily. 

Download free at parquetreader.app

Parquet Reader

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Parquet Reader

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