Parquet Row Group Pruner
Parquet Row Group Pruner is built for data engineers who need to inspect, debug, and explain data artifacts when something breaks in staging or a support ticket lands on a daily basis. Unlike online utilities that upload your production samples to a third-party server, DataEngUtils runs entirely in your browser: the file is read locally and never leaves your device. It is free to use — no install, no account — and sits alongside 35 data-engineering tools, from the SQL Formatter and JSON tools to a full Parquet and Avro workbench. Whether you are debugging a failed dbt run, preparing a handoff for analytics, or validating a file before it lands in Snowflake or BigQuery, Parquet Row Group Pruner keeps your data on your machine.
Open it in the app
Parquet Row Group Pruner runs in the DataEngUtils browser app on a Rust engine (Apache Arrow) compiled to WebAssembly — free to use, entirely client-side, and nothing is uploaded.
How it works
1. Open the tool
Open Parquet Row Group Pruner in the DataEngUtils browser app — no install and no account required.
2. Paste or drop your input
Add the text, config, or file Parquet Row Group Pruner expects. It is read locally in your browser and never uploaded.
3. Review and export
Inspect the result, copy it to your clipboard, or download the output directly from your browser.
Why not use an online tool?
Online inspectors tools require uploading your Parquet and CSV files to a third-party server. For production work, that is a security and compliance risk. DataEngUtils runs a client-side engine in your browser — same convenience, none of the exposure.