For analysts and BI teams
Explore schemas fast, filter data with SQL, and export to CSV/JSON/Parquet for reporting.
View your full file for free Β· Exports via upgrade Β· No account required
A secure online parquet viewer and parquet file reader for Parquet, Avro, Feather, ORC, CSV, GeoJSON, NetCDF, JSON, Excel, Arrow & Vortex 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 null spikes, duplicates and invalid values with the free data quality reportβthen share it as PNG or JSON.
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. Opening and inspecting Parquet files online is free, and you can read the whole file β every row, the schema, search, sort and SQL. Upgrading adds exports to CSV, JSON or Parquet, saved files and sharing.
Yes. Open your file and click Quality report for a free profile of every column: completeness, distinct values, min, max and distributions, plus checks for nulls, duplicates and invalid values. You can download the report as PNG or JSON.
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.