Parquet to JSON Converter

Free online tool to convert Apache Parquet files to JSON format. Supports multiple output formats including JSON array, JSON lines, and pretty-printed JSON. Fast, secure, and runs on the server with pandas-powered conversion.

Parquet to JSON Converter

Convert Apache Parquet files to JSON format easily. Fast, secure, and runs entirely in your browser.

Upload Parquet File

Drag & drop Parquet file here

or click to select

Supported: .parquet, .pq

JSON Output Format

Orient as 'records' (row-wise)

JSON Output

How to Use

Simple steps to convert your Parquet files

Upload File

Drag and drop or click to select your Parquet file (.parquet or .pq)

Convert

The file is automatically converted to JSON format instantly

Download

Copy to clipboard or download the converted JSON file

Privacy & Security

All conversions happen locally in your browser using WebAssembly. Your files are never uploaded to any server, ensuring complete privacy and security. This tool works offline and processes data entirely on your device.

About Parquet to JSON Converter

Our free Parquet to JSON Converter is a powerful tool for data analysts, engineers, and developers working with big data formats. Apache Parquet is a columnar storage file format widely used in data lakes and analytics platforms like Hadoop, Spark, and AWS Athena. This tool lets you convert Parquet files to human-readable JSON format instantly, making data inspection and sharing much easier.

Why Convert Parquet to JSON? Parquet files are optimized for storage and query performance but require specialized tools to read. Converting to JSON allows you to view the data in any text editor, integrate it with web applications, share it with non-technical stakeholders, or load it into systems that don't support Parquet. This converter bridges the gap between big data workflows and everyday usability.

Key Features:

Converts .parquet and .pq files to JSON format in seconds.
Multiple output options: array of objects, JSON Lines, or pretty-printed.
Choose row-wise (records) or column-wise (index) orientation.
File statistics showing rows, columns, and size information.
100% secure - all processing happens in your browser.

Whether you're debugging a Spark pipeline, analyzing data quality, or preparing a sample dataset for documentation, this tool provides a fast, reliable way to access your Parquet data without installing Python libraries or command-line tools.

How to Use

Converting Parquet files to JSON is straightforward:

Upload your Parquet file (.parquet or .pq) by dragging and dropping or clicking to browse.
Select your preferred JSON output format (array, lines, or pretty-printed).
Choose orientation: records (row-wise) or index (column-wise).
View the converted JSON instantly in the output area.
Copy the JSON to clipboard or download it as a file.

Frequently Asked Questions

What is Apache Parquet?

Apache Parquet is a columnar storage file format designed for efficient data storage and retrieval. It compresses data well and is optimized for read-heavy analytical workloads. Parquet is commonly used in big data ecosystems like Hadoop, Spark, and cloud data warehouses.

What's the difference between output formats?

Array of Objects: Standard JSON format where each row is an object in an array. Good for most applications.
JSON Lines: One JSON object per line. Ideal for streaming and log processing.
Pretty Printed: Indented with line breaks. Best for human reading and debugging.

What does row-wise vs column-wise mean?

Records (row-wise) formats data as an array of objects, where each object represents a row. Index (column-wise) organizes data by columns, which can be more efficient for certain operations. Row-wise is typically easier to work with in most programming languages.

Is my data secure?

Absolutely. All conversion happens locally in your browser using WebAssembly. Your Parquet files are never uploaded to any server, ensuring complete privacy. This makes it safe to convert sensitive business data or personal information.

Can I convert nested Parquet data?

Yes! The converter preserves nested structures, arrays, and complex data types within the Parquet file. The resulting JSON will maintain the same hierarchical structure as the original Parquet schema.