Parquet to CSV
Convert Parquet files to CSV format
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Accepted formats: .parquet • Max size: 25MB
About Parquet to CSV Converter
1What is it?
Convert Parquet files to CSV format in your browser. Fast, secure, 100% client-side conversion with no file size limits. Parquet is a columnar storage format optimized for analytics, offering 70-90% compression compared to CSV. This tool reads Parquet files using WebAssembly (parquet-wasm) and exports them to standard CSV format for use in Excel, Google Sheets, or any tool that works with tabular data.
2Use Cases
- Export Parquet data from data lakes for Excel analysis
- Convert Spark/Athena query results to CSV for reporting
- Share columnar data with teams using traditional tools
- Extract data from Parquet files without installing Python/Spark
3Examples
Data Lake Export
Input
sales_data.parquet (10MB)
Output
sales_data.csv (45MB)
Report Conversion
Input
analytics_report.parquet
Output
analytics_report.csv
?Frequently Asked Questions
What is Parquet?
Parquet is a columnar storage format designed for big data analytics. Unlike CSV (row-based), Parquet stores data by column, enabling massive compression (70-90% smaller files) and faster queries. It's used by Apache Spark, AWS Athena, Google BigQuery, and Snowflake.
Why is the CSV file larger?
Parquet uses columnar compression that's extremely efficient. When converting to CSV (row-based format), the file size increases because CSV stores every value as text without compression. This is normal and expected.
Does it preserve all columns and data?
Yes! The converter reads the complete Parquet schema and exports all columns with their data intact. Numbers, strings, dates, and booleans are all preserved accurately.