🎉
DataChain Open-Source Release

Copilot for unstructured data

Build, debug and version multimodal datasets - video, audio, images, parquet and more

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Trusted partners with global industry leaders

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From Big Data to Heavy Data

🌍 AI has unlocked a new class of data

  • - 🎥 Videos, 🖼️ Images, 🎧 Audio, 📄 PDFs, 🔬 MRI scans, 🧠 Embeddings
  • - Rich, multimodal, and full of untapped signal
  • - Living in object stores (S3, GCS, Azure) - outside the reach of traditional SQL tools

This is Heavy Data - and it's the fuel for the next generation of AI.

⚡ Turn Heavy Data Into an Advantage

  • - Extracting structure, embeddings, and insights
  • - Powering agents, copilots, and adaptive workflows - without reprocessing
  • - Building pipelines and ETL that turn raw files into AI-ready knowledge

The efficient teams don't avoid heavy data - they make it their edge.

Developer-First, IDE-Native

IDEs Powered by Data Context

Share data, data lineage and code with your IDE like Cursor and GitHub Copilot via MCP — enabling smarter code generation.

Pythonic stack

One language across code and data without SQL islands. Easier for developers, better for IDEs and agents.

IDE-Native for Cloud Scale

Build and debug datasets processing locally. Scale instantly in 100s of cloud GPUs.

No Data Duplication

Operate on references to data in cloud storage - no data copies, no format changes, no vendor lock-in.

Empowering thousands of users and customers from startups to Fortune 500 companies

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XP Inc logo
Kibsi logo
Summer Sports logo
Motorway logo
Aicon logo
Billie logo
Cyclica logo
Degould logo
Huggingface logo
Inlab Digital logo
UBS logo
Mantis logo
Papercup logo
Pieces logo
Sicara logo
UKHO logo
XP Inc logo
Kibsi logo
Summer Sports logo
Motorway logo
Aicon logo
Billie logo
Cyclica logo
Degould logo
Huggingface logo
Inlab Digital logo
UBS logo
Mantis logo
Papercup logo
Pieces logo
Sicara logo
UKHO logo
XP Inc logo
Kibsi logo
Summer Sports logo
Motorway logo

See what DataChain can do

Master multimodal data with seamless ETL

Apply LLMs and ML models to extract insights from videos, PDFs, audio, and other unstructured data types. Effortlessly organize it into ETL processes.

Reproduce and data lineage

Track data lineage with all code and data dependencies. Reproduce datasets, and update them automatically via ETL.

Large-Scale Data Processing

Efficiently handle millions or billions of files. Leverage ML models for data filtration, join datasets seamlessly, and compute dataset updates with ease.

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