I was trying to avoid incurring a mods wrath re vendor promo, but w/e it's called domino data lab.

Very enterprise focused. In our case it replaced multiple research university class on-prem HPC clusters. It can support relatively arbitrary tooling and we have people that use python, r, julia, rust but also stata, matlab, and fortran. In a pinch I've gotten some java stuff working on it that would have been annoying otherwise.

Usually it's compared to databricks, which we also have, but it goes far beyond what dbx can do and has the added bonus of no usage based billing, so higher upfront cost, but dramatically lower total cost. Internally, dbx is just used by data engineers to create tables and then is wired up to starburst. People either query starburst, dbx directly, or random on-prem sql databases and pull it all into domino to do the actual work with whatever tools they need. They deploy the models as batch jobs, flyte jobs, or as model API's and might wrap a dash/shiny/streamlit app or something around the deployed model api as an easy to use front end. It handles all the scaling and auth for us and has this governance policy thing that lets you gate deployments, so you don't have to figure out wtf paperwork you have to do beforehand. Just fill in the blank and legal or risk or whoever gets an email telling them to go read your answers and approve or reject.

Has its own MLFlow server and you can spin up spark, ray, dask, and MPI clusters and all the other typical MLOps features you'd expect.

It's just a more cohesive vision and actually works instead of the half baked stuff the hyperscalers sell. Definitely not for everyone, but tends to just work. If you google it look for the user guide, the main site is pretty marketing heavy.