Ray has been getting a lot of traction lately for shining at distributed compute.
- What are the primary differences between Spark and Ray?
- In which areas/applications would each be best ? (i.e. Reinforcement Learning)
- In which cases would it make sense for both to co-exist ? (e.g. RayDP)
