Parquet Viewer Online – View Apache Parquet Files
Free browser-based Parquet file viewer. Upload .parquet files to inspect schema, browse data, and export to JSON or CSV.
Parquet Viewer
Drop your Parquet file here
or click to browse (.parquet)
No Parquet file? Try the sample dataset to see how it works.
Schema
What is Apache Parquet?
Apache Parquet is a columnar storage file format designed for efficient data processing. Unlike row-based formats like CSV or JSON, Parquet stores data by column, enabling faster queries and better compression—especially for analytical workloads.
Parquet is the standard format for data lakes, used extensively with Apache Spark, Hive, Presto, AWS Athena, Google BigQuery, and Python data libraries like Pandas and Polars.
Why Use This Parquet Viewer?
- No Python, Spark, or Pandas required: Open and inspect Parquet files instantly without installing any libraries or running code.
- 100% private: Files are processed locally using WebAssembly—nothing is uploaded to any server.
- Instant schema inspection: See column names and data types at a glance.
- Export to JSON/CSV: Convert Parquet data to more readable formats with one click.
- Large file support: Paginated viewing for files with thousands of rows (previews first 10,000 rows for performance).
Parquet vs CSV and JSON
Unlike CSV or JSON, Apache Parquet is a columnar binary format optimized for analytics and large datasets. While CSV and JSON are easier to read manually, Parquet offers significantly better compression and query performance. This Parquet Viewer helps bridge that gap by letting you inspect Parquet files visually and export them to more readable formats like CSV or JSON when needed.