But in Rocklin’s view, Dask has a big advantage over Spark: It’s more easy-going, and less finicky about who and what it works with, particularly in the Python data ecosystem. “While you can use the ...

Dask has fewer features than Spark and is intended to be used in conjunction with other Python libraries. Dask helps accelerate the entire data scientist workflow with GPUs.