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Comment on Show HN: I built an open-source data pipeline tool in Go

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How does this compare to ray data?

I didn't know about Ray Data before, but just gave a quick look and it seems like a framework for ML workloads specifically?

Bruin is effectively going a layer above individual assets, and instead takes a declarative approach to the full pipeline, which could contain assets that are using Ray internally. In the end, think of Bruin as a full pipeline/orchestrator, which would contain one or more assets using various other technologies.

I hope this makes sense.

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