DataChain

The copilot for unstructured data.

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

• 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.

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.