javisantana

it's kind of an internal joke, ClickHouse Inc lawyers are a pain in the ass with their letters and every time you forget a (r) somewhere, they write.

Flink might sound like the holy grail of streaming data processing, but for 95% of us, it's just a complex headache we don't need.

Not going to disclose that but you can make a guess on % if you analyze the S3 write/read ops a ClickHouse server does with regular or compact parts in a simple table (with a few columns) writing once per second

Thanks.

I re-used all scripts and didn't even notice the linux version.

I don't think is going to happen often, but definitely happens. We see that more than anyone would do because we run a lot of different workload types, any possible combination of types/sql/engines...

Running postgres in my previous company we saw a few of them as well and I'd consider postgres a "production grade" system.