Cool! But as a data engineer I don't know when I would ever use this. Getting data into a centralized place so it can be joined and queried easily is like prio 1 for any data team.
I'm sure SREs will really love me doing expensive adhoc queries against production postgres /s
I've yet to work in enterprises big enough to have multi cloud data warehouses though, maybe it's more useful in that setting?
Isn’t it useful for when you are getting things into a central DW?
E.g, you don’t need a million tools to connect to the million different application databases when inspecting sources as part of setting up pipelines.
As a consultant data engineer (ish), I think it has potential. You're right that any company doing data analytics is gonna be prioritizing a single source of truth and a unified platform, but each one will choose a different set of tools, which I'll have to learn, install, and even teach, for each new client. If I can use this to both explore AND implement stuff for clients regardless of their underlying database, that would be a pretty significant win.