[dunkeylim]

What? This isn't controversial, Snowflake did this years ago and this is the main reason it became a $40B business.

Amazon came out with Redshift, a cloud OLAP database, but it tied compute with data so teams couldn't scale compute and data separately and thus had to pay disproportional costs to their required workloads.

Sure, there's good reasons to keep compute and data together. But there is obviously a massive market for technologies that keep them separate...

[TruthWillHurt]

Snowflake is a BI data platform, which doesn't require low-latency and fast response like systems powered by RDBs do.

Apples and oranges.

[ranguna]

I believe you were the one who implicitly started the apples and oranges comparison with your original post

> "no. Just no."

Conveys the feeling that there is no scenario where doing this is feasibly and you yourself just said it's acceptable for BI but not AI training.

So the "no. Just no." actually means, "my use case does not allow for this, so I believe no one else should use this" which is a fallacy on its own.

In conclusion, this is fairly usable, but like everything else, it's not for all use cases.