Ray Data outperforms Daft in multimodal data lake pipelines
In an eight‑use‑case benchmark on Kubernetes, Ray Data 2.55.1 proved more stable and resilient than Daft 0.7.13, especially for async LLM inference. The comparison measured wall‑time, GPU occupancy, memory use, code size, and reliability across text, PDF, image, audio, video, and LLM metadata workloads.