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30.01.2026

Parquet and JSONL Converters

Convert between Apache Parquet, JSON Lines (JSONL), CSV, Excel, and JSON formats. Ideal for data engineering, analytics pipelines, and big data workflows.

Data Engineering

Parquet & JSONL Converters: Data Engineering Made Easy

Convert between modern data formats optimized for analytics. No coding required — just upload your file and download the result.

View All Parquet Converters
Parquet
JSONL
CSV/Excel

We're excited to announce support for Apache Parquet and JSON Lines (JSONL)formats. These formats are essential for modern data engineering, analytics pipelines, and machine learning workflows. Whether you're working with data lakes, preparing datasets for analysis, or building ETL pipelines, our new converters make it easy to transform data between formats without writing code.

What is Apache Parquet?

Apache Parquet is a columnar storage file format designed for efficient data storage and retrieval. It's widely used in big data ecosystems including Apache Spark, Apache Hadoop, Amazon Athena, Google BigQuery, and Snowflake.

Columnar storage means data is stored column by column rather than row by row. This makes Parquet ideal for analytical queries that only need specific columns, resulting in faster query performance and reduced storage costs.

Key Benefits of Parquet:

  • Efficient compression: Achieves high compression ratios, reducing storage costs
  • Fast queries: Columnar format enables reading only required columns
  • Schema preservation: Maintains data types and nested structures
  • Wide compatibility: Supported by all major data platforms

What is JSON Lines (JSONL)?

JSON Lines (also known as JSONL or Newline Delimited JSON) is a text format where each line is a valid JSON object. It's perfect for streaming data, log files, and datasets that need to be processed line by line.

One JSON object per line makes JSONL ideal for processing large datasets without loading everything into memory. Each line can be parsed independently, enabling efficient streaming and parallel processing.

Key Benefits of JSONL:

  • Streaming friendly: Process one record at a time without loading entire file
  • Easy to append: Add new records by appending lines to the file
  • Human readable: Plain text format that's easy to inspect and debug
  • ML/AI ready: Standard format for training datasets and model outputs

Available Converters

Common Use Cases

Data Analytics Pipelines

Convert CSV exports to Parquet for faster queries in tools like Amazon Athena, Apache Spark, or Google BigQuery.

Machine Learning Datasets

Prepare training data in JSONL format for OpenAI fine-tuning, or convert model outputs back to spreadsheets.

Data Lake Integration

Convert legacy data formats to Parquet for storage in modern data lakes on AWS S3, Azure Data Lake, or Google Cloud Storage.

Log Processing

Convert JSONL log files to CSV or Excel for analysis in spreadsheet tools, or to Parquet for long-term archival.

Data Exchange

Share data with partners in their preferred format. Convert between Parquet, JSONL, CSV, and Excel as needed.

Automate with Our API

All Parquet and JSONL converters are available via our REST API, enabling you to automate conversions in your data pipelines.

Integrate with Zapier for no-code automation, or use our Node.js SDK for programmatic access.

Start Converting Now

Try our Parquet and JSONL converters today. No registration required for your first conversions!

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