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  1. /
  2. Parquet Visualizer

Drop Parquet here

Local processing only

What is a Parquet file viewer?

Apache Parquet is a columnar storage format widely used in big data ecosystems like Apache Spark, AWS Glue, and Databricks. This tool lets you open and inspect Parquet files directly in your browser — no Spark cluster, no Python environment, and no data ever leaves your machine.

Frequently Asked Questions

What is a Parquet file?
Apache Parquet is an open-source columnar storage format optimised for analytics workloads. It stores data column-by-column rather than row-by-row, enabling fast queries and high compression ratios — ideal for big data pipelines built on Spark, Glue, or Databricks.
How can I open a Parquet file without Spark or Python?
This tool reads Parquet files directly in your browser using WebAssembly. Just drag and drop your .parquet file — no Spark cluster, no Python environment, and no cloud services required.
Is my Parquet data safe?
Yes. Your file is processed entirely in your browser. No data is ever sent to any server. This is a fully local-first tool.
What is the maximum file size supported?
File size is limited by your browser's available memory. Files up to several hundred MB typically work well on modern hardware.

Related Tools

CSV ViewerView and filter CSV files locally.Schema InspectorInspect column types and null counts.SQL Query ToolRun SQL on local files with DuckDB.