Parquet Viewer
Upload a .parquet file to inspect its schema and browse rows with sortable, type-aware columns.
Free & unlimited
Preview reads the first set of row groups into memory — very large files may take a moment.
All processing happens in your browser. No data is sent to any server.
About this tool
- 1
Upload Parquet file
Select an Apache Parquet (.parquet) file. These are commonly used in data engineering and analytics.
- 2
View schema
Inspect the file schema - column names, data types, and nested structure information.
- 3
Browse data
View the data in a paginated table with sorting and filtering capabilities.
- 4
Export
Export the data as CSV or JSON for use in other tools.
- Parquet files use columnar storage - the viewer shows row-oriented data for easy human reading.
- Large Parquet files may only show the first N rows - use the row count indicator to know how much data exists.
- Check the schema carefully for nested or complex types (arrays, structs) that may display differently.
- Parquet file schema display with column names and data types
- Row data browser with pagination for large files
- Support for nested and complex data types
- Column statistics (min, max, null count) from Parquet metadata
- Export to CSV or JSON formats
- Inspecting Parquet output files from Spark, Pandas, or other data processing frameworks
- Debugging data pipeline issues by examining intermediate Parquet files
- Previewing Parquet data before loading into a database or data warehouse
- Sharing Parquet file contents with team members who don't have data engineering tools installed