Parquet Viewer

About Parquet Viewer

Parquet Viewer is a powerful online tool that lets you view and explore Apache Parquet files directly in your browser. Load Parquet files, preview data in a spreadsheet-like interface, and export to CSV or JSON format—all without uploading sensitive data to a server.

What is a Parquet file?

Apache Parquet is a columnar storage file format optimized for use with big data processing frameworks. It provides efficient data compression and encoding schemes, making it popular for data analytics, data lakes, and machine learning pipelines. Parquet files are widely used with tools like Apache Spark, Hadoop, and AWS Athena.

Does my data leave my device?

No. All Parquet parsing and processing happens locally in your browser using WebAssembly (parquet-wasm). Your data never leaves your machine, ensuring complete privacy for sensitive datasets like customer data, financial records, or confidential analytics.

Can I edit Parquet data?

This tool is read-only for viewing Parquet files. You can preview the data and export it to CSV or JSON formats. If you need to edit the data, export to CSV first and use our CSV Viewer & Editor tool.

What file size can I view?

The tool can handle Parquet files of various sizes. For very large files (>100MB), you may want to limit the number of displayed rows to ensure smooth performance. The tool uses efficient WebAssembly parsing to handle files quickly.

Can I export to different formats?

Yes. You can export your Parquet data as a CSV file (comma-separated) or JSON format. This makes it easy to use the data in spreadsheet applications, databases, or web applications.

Why use Parquet format?

Parquet is ideal for big data and analytics because it stores data in columns rather than rows. This provides better compression, faster query performance for analytical workloads, and efficient encoding schemes. It's widely used in data engineering, data science, and cloud data warehouses.