I would categorize data tooling as a moving target - we have some, it's never enough, it probably won't ever be enough. It's a moving target (p.s. obligatory we're hiring!).
More generally speaking, (excuse me for being a little hand-wavey here) many of the AWS offerings feel like polished, managed versions of familiar tools. Redshift, for example, feels a bit like "hey we figured out how to abstract away a bunch of mysql instances to feel like a big processing cluster". That's not a bad thing, necessarily. The google stuff feels much more intentional - "we need to solve the problem of doing these sorts of queries at scale" vs. "we need to solve the problem of scaling mysql to solve these types of queries"
Maybe they're just better at abstraction, but whatever - that works for me!
I think this Quora post does a good job of redshift vs. bigquery: https://www.quora.com/How-good-is-Googles-BigQuery-as-compar...
More generally speaking, (excuse me for being a little hand-wavey here) many of the AWS offerings feel like polished, managed versions of familiar tools. Redshift, for example, feels a bit like "hey we figured out how to abstract away a bunch of mysql instances to feel like a big processing cluster". That's not a bad thing, necessarily. The google stuff feels much more intentional - "we need to solve the problem of doing these sorts of queries at scale" vs. "we need to solve the problem of scaling mysql to solve these types of queries"
Maybe they're just better at abstraction, but whatever - that works for me!