I don't want to derail the thread, but I recently started a company (https://syndetic.co) that's working on this problem. We've been focusing on the external data dictionary use case (how does a data-as-a-service company explain a dataset to their prospective customers) but we've been encountering a number of companies that are evaluating data catalogs and other internal tools for their data science teams.
I would really appreciate getting your perspective - I'm steve (at) syndetic.co
The legacy players are a mess, the new cloud native offerings are overly Engineering focused and immature, and the few startups in this space are recreating the legacy solutions in a SAAS formats
Go forth and claim the significant checks that I and others plan to write for these mediocre offerings.
I would really appreciate getting your perspective - I'm steve (at) syndetic.co