Totally hear you on the compatibility question. It's quite challenging to communicate on this topic (ask me about it in person sometime!), but what I can say is:
Please let us know what features you need. "I'm blocked by __" is a super power every customer has to influence our priorities.
Great post. Regarding latency, those numbers are way off. We see server side reads in the low single digit millis even at top percentiles. I’m glad you’re working to dig in.
It’s based on Postgres. The rest is new.
DSQL is fully distributed. Instead of scaling up and down, DSQL scales horizontally across many micro VMs, based on your usage. This frees you from maintenance windows, eventual consistency, scaling - think DynamoDB but for relational. DSQL also can run multi region active-active.
Limitless is about sharding, which you previously had to do manually (in the app) after you ran out of instance types. Limitless helps keep your app as simple as possible, eg routing queries to the right shard.
Aurora serverless is Aurora that automatically resizes the instance to lower costs or meet performance demands. It can save you money, while still helping you meet peak demands.
Aurora is for innovation in database technology. OG Aurora disaggregated storage; DSQL takes the next step.
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Looking forward to the next post :)
AWS just announced Aurora DSQL - a purpose built, postgres-compatible serverless database and take it from me - it's amazing.
I've had a few months to play with it (more soon), but it's truly the single most exciting launch I've seen from AWS in a while.
You've gotta try it
Today's third blog post on Aurora DSQL: this time looking at the write and commit path, and how conflicts are detected and handled: brooker.co.za/blog/2024/12...
Aurora DSQL uses most of the SQL layer (parser, planner, optimizer, etc) from PostgreSQL itself. The storage layer, concurrency control, replication, etc are ground-up.