Does this mean we can have scale-to-zero Postgres? One pain we have with Clickhouse Postgres is that we have to pay for dev/staging databases that receive no traffic most of the time.
It's interesting that xata.io is a standalone product. Whereas in https://playcode.ai, it's just one of the features, it lets you create a new server in a second, which can contain anything, not just a database, and which takes up no space at all if nothing has changed.
And you can have as many as you want, tens or twenties of them, which automatically go to sleep when not in use and cost you nothing. This is one of our signature features, made possible by the fact that we built our own file system that allows this.
What's more, it even allows moving between data centers within a single second, you fall asleep on one host in one region and wake up on another host, another region, within a second. And of course, there are snapshots and rollbacks back and forth in different directions.
It turned out really great, I'm happy with it. What's more, I built the entire cloud infrastructure by myself.
There might be companies that are ready to buy the entire Playcode.AI, which includes not only the revolutionary cloud infrastructure but also AI Gateway, AI Harness, AI Agent, and everything needed for creating full-stack applications. It even has its own email Gateway, its own DNS server, and so on. Everything is written in Rust.
I’ve gone all in on the clickhouse stack this year and I continue to be extremely impressed. Our product does physical simulation and generates a lot of time series rows per run (a million or so) so we needed something that could do fast time series aggregations. In clickhouse we’ve got one core db that supports that easily, while also being runnable locally in docker compose for dev. They’ve also made smart acquisitions in the otel observability stack, so our o11y is running on another clickhouse db with hyperdx/click stack included. And they acquired langfuse which mostly just works on top of clickhouse as well, so we’re self hosting that for evals etc.
The team has been easy to work with as well. Maybe they’ll get enshittified, I guess that’s inevitable, but it’s good now.
I think they’re a model of a co that will do well through the LLM transition - strong core tech plus useful bits on top that are OSS but can be hosted by them if you want.
Does this mean we can have scale-to-zero Postgres? One pain we have with Clickhouse Postgres is that we have to pay for dev/staging databases that receive no traffic most of the time.
Yes, we're working on integrating Xata tech into ClickHouse Managed Postgres. That includes scale-to-zero and quick wake-up times.
It's interesting that xata.io is a standalone product. Whereas in https://playcode.ai, it's just one of the features, it lets you create a new server in a second, which can contain anything, not just a database, and which takes up no space at all if nothing has changed.
And you can have as many as you want, tens or twenties of them, which automatically go to sleep when not in use and cost you nothing. This is one of our signature features, made possible by the fact that we built our own file system that allows this.
What's more, it even allows moving between data centers within a single second, you fall asleep on one host in one region and wake up on another host, another region, within a second. And of course, there are snapshots and rollbacks back and forth in different directions.
It turned out really great, I'm happy with it. What's more, I built the entire cloud infrastructure by myself.
There might be companies that are ready to buy the entire Playcode.AI, which includes not only the revolutionary cloud infrastructure but also AI Gateway, AI Harness, AI Agent, and everything needed for creating full-stack applications. It even has its own email Gateway, its own DNS server, and so on. Everything is written in Rust.
I’ve gone all in on the clickhouse stack this year and I continue to be extremely impressed. Our product does physical simulation and generates a lot of time series rows per run (a million or so) so we needed something that could do fast time series aggregations. In clickhouse we’ve got one core db that supports that easily, while also being runnable locally in docker compose for dev. They’ve also made smart acquisitions in the otel observability stack, so our o11y is running on another clickhouse db with hyperdx/click stack included. And they acquired langfuse which mostly just works on top of clickhouse as well, so we’re self hosting that for evals etc.
The team has been easy to work with as well. Maybe they’ll get enshittified, I guess that’s inevitable, but it’s good now.
I think they’re a model of a co that will do well through the LLM transition - strong core tech plus useful bits on top that are OSS but can be hosted by them if you want.
Like Databrick acquired Neon?
there's been a trend of consolidation and acquisitions in the space
Prisma Postgres is last man standing?