Drop Parquet files
Import .parquet files directly into your browser. Leverage columnar storage for fast query performance on large datasets.
View, analyze, and convert Parquet files directly in your browser. Perfect for data analysts and GIS professionals working with columnar data. Run SQL queries with DuckDB WASM, profile columns, and export to multiple formats. No backend, no installation—completely free.
Apache Parquet is a columnar storage format widely used in data engineering and analytics workflows. It provides efficient compression and encoding schemes, making it ideal for large datasets in data lakes, ETL pipelines, and analytics platforms. Parquet is supported by virtually all modern data tools including Spark, Pandas, DuckDB, and Arrow.
Import .parquet files directly into your browser. Leverage columnar storage for fast query performance on large datasets.
Run SQL queries on Parquet data using DuckDB WASM. Join multiple files, aggregate columns, and filter rows with SQL you already know.
View column statistics, data types, and schema information. Paginate through millions of rows with fast columnar access.
Export your Parquet data to CSV for spreadsheets, JSON for APIs, Arrow for in-memory processing, or other database formats. All conversions happen locally in your browser using DuckDB's export engine.
No signup, no installation. Drop your Parquet file and start exploring with SQL and columnar performance.
Launch Parquet viewer