The area that we've seen Dask shine the most is ML. This is because the Python ecosystem has more advantages when it comes to ML and there is better GPU suppor

The area that we've seen Dask shine the most is ML. This is because the Python ecosystem has more advantages when it comes to ML and there is better GPU support. https://towardsdatascience.com/supercharging-hyperparameter-tuning-with-dask-ab2c28788bcf https://towardsdatascience.com/supercharging-hyperparameter-... https://towardsdatascience.com/random-forest-on-gpus-2000x-faster-than-apache-spark-9561f13b00ae https://towardsdatascience.com/random-forest-on-gpus-2000x-f... Disclaimer: We produced those benchmark. I'm a founder of Saturn (https://www.saturncloud.io/ https://www.saturncloud.io/) and we focus on providing Databricks-like capabilities with Jupyter + Dask + Prefect, so I definitely have strong feelings in this area.