> Postgres was a "it exists" database back in the early 2000's.
If we're really nitpicking it's not saying Postgres is the most popular database since the early 2000's. If you base it of off install counts as the metric, I would assume the statement is true since I'd think it's either Postgres or MySQL today.
I'm still trying to understand the scaling story better. When we say serverless it mentions automatically scaling when it detects some sense of resource pressure. If I have a "hot tenant-database", does that mean this shard will be scaled automatically without impact to existing queries? Or would there be some "blip". I suppose it's unavoidable in edge cases but curious about the regular ones as well.
It's an incredibly cool CX you have here with the automated query routing/tenancy story though, looking forward to what happens in this space.
> Rebuilding a cluster from the last-known-good backup should not take that long
It's not even clear if that's the right thing to do as a service provider.
Let's say you host a database on some database service, and the entire host is lost. I don't think you want the service provider to restore automatically from the last backup because it makes assumptions about what data loss you're tolerant to. If it just works from the last backup, suddenly you're potentially missing a day of transactions that you thought were there that magically disappears as opposed to knowing they disappeared from a hard break.
Sure, but isn't this more about risk tolerance at this point and how much your customers care about? Where the responsibility should be on customer's end. Running on EBS/RDS doesn't guarantee you won't lose data. If you care about it, you enable backups and test recovery.
Just because some customers are less fault tolerant than others, doesn't mean we shouldn't offer those options where people don't have the same requirements or are willing to work around it.
> Postgres was a "it exists" database back in the early 2000's.
If we're really nitpicking it's not saying Postgres is the most popular database since the early 2000's. If you base it of off install counts as the metric, I would assume the statement is true since I'd think it's either Postgres or MySQL today.