Parquet Viewer

• Publisher
  Mert Karayakuplu
• Websiteparquet.to
• Published date2026/08/09
• Views1010 views

Parquet Viewer is a free, browser-based tool for inspecting Apache Parquet files locally without uploading them to a server. It takes .parquet files as input and displays their rows in a browsable table, supporting filtering and export. The tool runs entirely on the client side, ensuring data stays on the user's device.

What is Parquet Viewer?

Parquet Viewer is a free online tool that lets you view and explore Apache Parquet files directly in your web browser. It takes one or more .parquet files as input, renders them as an interactive table, and allows you to filter rows and export the data—all without any server upload. The tool is available at parquet.to and is created by an unaffiliated developer.

Key Features

• Local processing — Files are never uploaded; all operations happen in the browser on your device.
• Drag-and-drop interface — Drop one or more .parquet files onto the page to begin inspecting them instantly.
• Row browsing — View all rows in a scrollable, sortable table with column headers.
• Filtering — Filter rows by column values to quickly find specific data.
• Export functionality — Export the viewed (and filtered) data for use in other tools.
• Sample file — A sample .parquet file is provided for testing the tool without your own data.
• Free to use — No payment, registration, or account required.

Who is it for?

• Data analysts — Quickly inspect Parquet files to understand their structure and content without installing software.
• Data engineers — Validate data quality and schema in Parquet files before processing them in pipelines.
• Students learning Parquet — Explore the format interactively to see how columnar storage works.

What can you do with Parquet Viewer?

• Quick data inspection — Drag a .parquet file onto the page to view its rows and columns immediately, with no setup.
• Data validation — Filter rows to check for missing values or outliers before using the data in downstream tasks.
• Export a subset — After applying filters, export the resulting rows for sharing or further analysis.