ANGSUDO

Serverless databases have a reputation for being the small, convenient option, not the fast one. I wanted to see how far I could push that. This week we launched @SurrealDB Earth, serverless SurrealDB on @Cloudflare. It starts when a query arrives and scales to zero when nobody is using it. So I pointed it at 5 billion rows and asked it to count them. In a single second, it read more than 4.5 billion of them. That is over 90% of the table, more than 350 GB of data, in one second. Every number here is from a real run, not a projection. There was no cluster to provision and nothing to size. The parallelism appeared the moment the query needed it and was gone the moment it finished. And it is the full SurrealDB engine, with ACID transactions. It is not perfect yet. 99.6% of the work finishes fast, but the slowest 0.4% still drags the full count out to several seconds. I know why, and my target is the entire query in under 2 seconds. Honestly, I still find it hard to believe. I am convinced this design has orders of magnitude left in it, on reads, on writes, and in places I have not talked about yet. I will be recording a video soon with much bigger numbers. The small, convenient option just got very fast. I am really proud of what this team has built 🌍