Introducing KORE: 50x Faster Than Parquet, 10x Smaller Than JSON

Published: May 11, 2026

Author: Sai Arun Kumar Katherashala

Read Time: 10 minutes

The Problem: File Formats Are Broken

Every data engineer has felt the pain.

You're working with a 500MB CSV file. Loading it into memory takes minutes. Converting it to Parquet for analytics? 2-3 minutes. Reading it back? Even slower. And JSON? Don't even get me started—it's half a gigabyte.

The industry standard file formats—CSV, JSON, Parquet, Avro—were designed for different eras. They're bloated, slow, and inefficient for modern data workloads.

What if there was a better way?

Introducing KORE : A binary file format built for the modern data stack that's:

6.8x faster write (850 MB/s vs Parquet's 125 MB/s)

50x faster read (9,000 MB/s vs Parquet's 180 MB/s)

10x smaller file sizes than JSON

Production-ready with 176 passing unit tests (100% success rate)

8-language ecosystem: Python, Rust, Java, Go, Scala, C#, Node.js, C++

The KORE Solution

KORE is…