We had 8 data engineers onboarding the org to databricks, it was only after 2 solid years before they got to working on serverless (it was because users complained of user unfriendliness of 'nodes', and managers of cost). But then, there were problems. A common pattern through my grep of slack convos is "I'm having this esoteric error where X doesn't work on serverless databricks, can you help".. a bunch of back and forth (sometimes over days) and screenshots followed by "oh, unfortunately, serverless doesn't support X".

Another interesting note is someone compared serverless databricks to bigquery, and bigquery was 3x faster without the databricks-specific cruft (all bigquery needs is an authenticated user and a sql query).

Databricks isn't useless. It's just a swiss army knife that doesn't do anything well, except sales, and may improve the workflows for the least advanced data analysts/scientists at the expense of everyone else.