PostgreSQL

“Instead of worrying about PostgreSQL and maybe Spark SQL, why not just one? But I don't think that's an issue for agents. Agents are very eloquent in PostgreSQL or Spark SQL. It's never going to get confused. As long as the data is there and it's accessible ag…”

“What have used it would have taken me probably five hours historically to like clean the data appropriately. And I smashed that out in like probably 20 to 30 minutes.”

“A database tool and like a knock on effect for that for YC company is Superbase has just seen like an explosion at the demand for databases, right? And the age was interesting is the agents are choosing Superbase as a default tool to like set up and host their…”

“And that's how we moved about 800 gigabytes of data with zero downtime from Postgres to PlanetScale.”

“We're not building on top of Postgres and therefore limited by what Postgres has to offer.”

“The issue really is the fact that these observability companies isn't actually doing observability for the system, it's just doing the LLM thing. Like I still end up using like Datadog, right? Or like, you know, Sentry to do, like, latency. And so I just have …”

“There was some joint study between IBM and some other That basically showed that Postgres was performing as well as most of the graph databases for most graph workloads.”

“We don't have full Postgres compatibility today, but every Postgres feature we have is cloud native. It will use the full power of the cluster to serve your queries and we can scale writes arbitrarily. We can scale reads arbitrarily.”

“That was the stuff we did for the first several years was like all the caching and all the, Grouping queries, and we had read replicas of our, of the database, but it was purely write load on a single data store. You have this Postgres database with 30,000 que…”