TLDR Tech / Data
A field journal on Ray Data and Daft for multimodal data lake
After running 8 production-like use cases side-by-side, Ray Data was selected over Daft primarily for superior stability and resilience at scale (especially in complex async LLM inference) while acknowledging Daft's strengths in ergonomic native multimodal primitives and cleaner code for many operations.
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