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.
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.