Fair enough. This really replaces the Notebook experience of Databricks and gives you the option to self host and as it is dockerised it is easy to deploy on Kubernetes (with JupyterHub) or other container hosts. If you want to do low-level RDD operations you can easily build a plugin.

I think previously Spark was difficult to run, now with Docker and supported Kubernetes it is fairly easy.

Edit: I forgot to link to the Deploy repo which does have some scripts to easily deploy to cloud environments (but needs some work): https://github.com/tripl-ai/deploy