Frequently Asked Questions
What is a Parquet file?
Apache Parquet is an open-source columnar storage format designed for efficient data storage and retrieval. Parquet files (.parquet) are widely used in big data processing frameworks like Apache Spark, Hadoop, and cloud data warehouses like Snowflake and BigQuery.
How do I open a Parquet file without Python?
You can open a Parquet file without Python by using Parquet Editor — a free, browser-based tool. Click "Select Parquet File", choose your .parquet file, and view its contents immediately. No installation, no Python, no Spark required.
Is Parquet Editor free?
Yes, Parquet Editor is completely free to use. It runs entirely in your browser, so your data never leaves your machine.
Can I edit Parquet files in a browser?
Yes. Parquet Editor allows you to view, filter, and edit Apache Parquet files directly in your browser. You can modify cell values, filter rows, inspect schema, and download the result as a new Parquet file.
Is my data safe when using Parquet Editor?
Yes. Parquet Editor processes your files entirely in your browser using WebAssembly. Your data is never uploaded to any server.
Are my files uploaded to a server?
No. All processing happens locally in your browser. Your files never leave your device.
What is the maximum file size Parquet Editor supports?
There is no hard limit, but performance depends on your device's available memory. Very large files may be slow or cause out-of-memory errors in the browser. If you encounter issues, try splitting the file into smaller chunks.
What data types does Parquet Editor support?
Parquet Editor supports all common Parquet types including strings, integers (8/16/32/64-bit), unsigned integers, floats, doubles, decimals, booleans, dates, timestamps, binary, as well as complex nested types like arrays, maps, and structs.
Can I create a new Parquet file from scratch?
Yes. Click "New File" on the home page, define your schema in the Schema tab, add rows in the Data tab, and download the result as a .parquet file.