Got it. I can't speak of Gradient's roadmap, but as of right now they are using Jupyter as a notebook and focusing on infrastructure around it. We are innovating on the notebook itself.

Huge part of it is simply the UX. There's a wide range of what kind of work a data scientist does. Some train models that go into production, some analyze the datasets and build reports. Probably best to try both products with your workload and see what works better.