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Parquet Viewer
Inspect Apache Parquet file metadata — schema, row groups, compression, and more
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- Parquet Viewer
Click to upload or drag and drop a .parquet file
All processing is local — file never leaves your device
Quick Example
File Metadata
Upload a .parquet file to inspect its metadataVersion
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Schema Fields
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Row Groups
0
Total Rows
0
What Is Apache Parquet?
Apache Parquet is a free and open-source column-oriented data storage format. It provides efficient data compression and encoding schemes, making it ideal for big data processing. Parquet files store both the data and the metadata (schema, compression, encoding) in a single file, enabling self-describing data exchange.
How to Use
- Upload a .parquet file — Click the upload area or drag and drop a file.
- Review the metadata — The tool parses the file footer and displays schema, row groups, compression, and metadata.
- All processing is local — Your file never leaves your browser.
Frequently Asked Questions
Is my data sent to a server?
No. All processing is performed locally in your browser. Your Parquet file never leaves your device.
What is a Parquet file?
Apache Parquet is a columnar storage format designed for big data processing. It offers efficient compression and encoding schemes, making it ideal for analytics workloads in Hadoop, Spark, and other data processing frameworks.
What metadata can I see?
The viewer displays the file version, schema fields (column names and types), row group information (row count, compressed/uncompressed sizes), compression codecs, encodings, and key-value metadata.
Can I view the actual data?
This tool focuses on metadata inspection. Use a dedicated Parquet reader like Apache Arrow or a data analysis tool to view the actual row data.
Is this tool free to use?
Yes. This tool is completely free with no usage limits or registration required.
Last updated: 9 Jul 2026
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