For analysts and BI teams
Explore schemas fast, filter data with SQL, and export to CSV/JSON/Parquet for reporting.
Free preview · Full access & exports via upgrade · No account required
A secure online parquet viewer and parquet file reader for Parquet, Avro, Feather, ORC, CSV, GeoJSON, NetCDF, JSON, Excel & Arrow formats.
Explore schemas fast, filter data with SQL, and export to CSV/JSON/Parquet for reporting.
Validate Parquet files, run quick SQL checks, and debug issues before production pipelines.
Spot type mismatches, null spikes, and schema changes—then export results for follow-up.
Upload your .parquet file in the viewer and your data is loaded in the viewer. Then filter rows, search values, and inspect columns instantly.
Yes. After opening your file, export your result set to CSV or JSON. This helps when you need to share data with tools that do not support Parquet.
ParquetReader is built for privacy-first workflows. You can inspect files quickly without creating an account for basic usage.
No installation is required. You can open and analyze Parquet files directly in your browser from desktop or laptop.
Yes. ParquetReader offers a free preview so you can open and inspect Parquet files online before upgrading for full exports and advanced features.
Yes. You can upload and read a Parquet file online without setting up Python, Spark, DuckDB, or desktop tools.
Files are processed temporarily for your request and removed after processing. See the privacy policy for full details on file handling and retention.