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Bridging the gap between AI and data warehouses is crucial, but I’m not sure SQL is the best fit for AI engineers who mainly work with Python and AI APIs.

At DataChain, we are solving this by creating a Python API that translates to SQL under the hood, which is pretty easy now with Pydantic. https://github.com/iterative/datachain

WDYT?

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Right, our product is designed for data practitioners who want snappy data analytics on unstructured data.

Thanks for sharing your project, super cool idea! What does it take if we want to integrate our SQL engine with datachain?

It uses SQLite in open-source. In SaaS - proprietary data warehouses where your engine can be integrated.

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