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RStudio has had a server-based semi-collab SKU since before JupyterHub was even in development: https://www.rstudio.com/products/rstudio/

But is it better? Worse? Will them thrive together?

What does "SKU" mean in this context?

Meant product, but brain was failing at time of comment.

Article says they are phasing out the old notebook interface but will support both for a while. Which is fine I guess, the main panel in Lab is basically the old notebook.

The other kernels and stuff will still work, I've used them some in Lab. Lab is super extensible, I wouldn't be surprised if projects like RStudio get ported just to unify things, but it is not currently part of IPython so I don't think this is relevant to it at present.

No, R and Python are fundamentally different. I do believe we will see a shift in what they are used for though. Python more for the "deep learning" stuff, and R for more statistical, non-deep-learning work.

Jupyter supports lots of languages (including R).

RStudio is probably still nicer for working R, but I haven't done any serious analysis in R for a while now.

R Studio also support Python and a bunch of other languages as well. It'll be interesting to see how this all shakes out.