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DEDataEngUtils

Parquet → CSV

Convert Parquet to CSV in your browser without uploading the file to a cloud converter. DataEngUtils reads the Parquet bytes locally with an Apache Arrow engine compiled to WebAssembly, then streams the output back to you — select columns, set the delimiter, and download the CSV. Nothing is sent to a server, so you can export customer data, finance extracts, and production drops that would never pass a security review if uploaded elsewhere. The engine handles Snappy, Zstd, Gzip, Brotli and LZ4 compression, and the page stays responsive because parsing happens inside a Web Worker.

Open it in the app

Parquet → CSV runs in the DataEngUtils browser app on a Rust engine (Apache Arrow) compiled to WebAssembly — part of the Pro workbench, entirely client-side, and nothing is uploaded.

app.dataengutils.com
Parquet → CSV in the DataEngUtils app

How it works

  1. 1. Open Parquet → CSV

    Open the tool in the DataEngUtils app, or click through from this page. No install and no account required.

  2. 2. Drop your Parquet file

    Drag a .parquet file onto the drop zone. It is read locally in your browser and never uploaded.

  3. 3. Pick columns and export

    Choose the columns and delimiter, then download the CSV — or copy the preview straight to your clipboard.

Why not use an online tool?

Online converters 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.

Frequently asked questions

Can Parquet → CSV handle large files?
The engine reads Parquet row groups with an Apache Arrow build compiled to WebAssembly, so it stays responsive on large files. Files above 512 MB show a warning and files over 1.5 GB are refused, since the data is held in memory.
Why not use an online Parquet converter?
Online converters upload your file to a third party. DataEngUtils parses it locally in your browser — the file never leaves your device, which matters for production and regulated data.
Which compressions are supported?
Parquet files compressed with Snappy, Gzip, Zstd, Brotli, LZ4 or no compression are all supported.
Does it work offline?
Yes. Install DataEngUtils as an app (PWA) and it works with no network at all after the first load.