Convert CSV and JSON to optimized Parquet files directly on your own AWS. Fast.

Purpose-built and lightweight.

How Parqify Works

Parqify schema conversion diagram showing CSV/JSON to Parquet transformation
CSV and JSON icons indicating data conversion into Parquet format

Parqify provides a server application, packaged as an AMI, that customers can deploy within their AWS environment.

This server reads CSV and JSON files from a specified S3 bucket, converts them to the Parquet format, and then writes the converted files back to another S3 bucket.

Features

Fast conversion

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Parallel processing optimized for large Amazon S3 datasets.

Process multiple files concurrently for improved performance.

Runs in Your AWS Account

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All processing happens inside your AWS account.

No data leaves your infrastructure.

Friendly Web UI

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Create, edit, import/export conversion configs. Configure S3 bucket names, file prefixes, and other conversion parameters through a simple web interface.

Scalability

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Scale the EC2 instance size based on your dataset size and performance requirements.

Easy Deployment

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Deploy Parqify via AWS Marketplace.

Ready to get started?

Launch on AWS Marketplace

Use Cases

Data Lake Optimization

Convert raw CSV and JSON data in Amazon S3 to Parquet for more efficient storage and faster querying with Amazon Athena or Amazon Redshift Spectrum.

Data Sharing

Share Parquet files instead of CSV or JSON for more efficient data exchange and better performance when consumed by AWS analytics services and downstream data pipelines.

🚀 Optimized for Conversion — Not General ETL

Parqify uses a lightweight streaming pipeline designed specifically for S3 → Parquet.

Unlike Spark-based tools, it avoids cluster startup, staging datasets, and JVM overhead. Files are streamed directly from S3 into Parquet writers with column-aware buffering and parallel IO.

The result:

  • 🚀 Faster startup
  • 🚀 Lower memory usage
  • 🚀 Fewer S3 operations
  • 🚀 Smaller Parquet output
  • 🚀 Better performance for Amazon Athena and Amazon Redshift

Perfect for teams that just need Parquet — without building ETL infrastructure.

Choose the right tool

Quick comparison by purpose, startup time, and best use.

Tool Designed for Startup cost Best use
Parqify Format conversion Fast CSV/JSON → Parquet
Glue / EMR Full ETL Medium Complex pipelines
Athena CTAS SQL transforms Medium Query-driven workflows

Quick Start

Get started in minutes:

  • ✔️ Launch Parqify from AWS Marketplace
  • ✔️ Open browser to instance IP
  • ✔️ Create your first conversion