SmartQueryTools

Convert Parquet to Excel Online

Convert Parquet files to Excel format directly in your browser. No upload required — your data never leaves your device.

Drop your .parquet file here

or click to browse — max 50 MB

About this conversion

Converting Parquet to Excel makes analytical data accessible to business users who work in spreadsheets. Parquet files — common outputs from data warehouses, Spark jobs, and model pipelines — become a standard .xlsx file that opens in Excel, Google Sheets, or LibreOffice without any special tooling or programming environment.

Common use cases include exporting a data warehouse query result or model output for distribution to a finance or operations team, sharing analytical results with business stakeholders, and converting Athena or BigQuery query exports for use in Excel-based reports. Parquet's typed schema means the Excel output has correct number and date formatting without manual cleanup.

Excel has a row limit of 1,048,576 rows. If your Parquet file is larger, use the Sample or Head tool to extract a subset first. Complex Parquet types such as nested structs and list arrays are serialised as JSON strings in the Excel cells — if you need flat columns from a complex schema, use the SQL Query tool to flatten before converting.

Frequently Asked Questions

What is Excel format?

Excel (XLSX) is Microsoft's spreadsheet format, widely used in business. It supports multiple sheets, formulas, and formatting.

Is my Parquet data private?

Yes — completely. Your file is never uploaded to any server. All conversion happens inside your browser using WebAssembly — locally, with no upload. Once you close the tab, nothing is retained.

What is the maximum file size?

The free limit is 50 MB. For larger files, performance depends on your device's available memory — most modern machines can handle 500 MB to 1 GB comfortably.

What is the difference between Parquet and Excel?

Parquet is optimised for analytical query engines and compressed storage. Excel is better for distributing results to business users who work in spreadsheets.

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