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Spark vs. Ray?

Mooune_DBU
Valued Contributor

Ray has been getting a lot of traction lately for shining at distributed compute.

  1. What are the primary differences between Spark and Ray?
  2. In which areas/applications would each be best ? (i.e. Reinforcement Learning)
  3. In which cases would it make sense for both to co-exist ? (e.g. RayDP)
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