The SurrealDB Startups Programme: $5,000 in credits for Agent Memory, Earth on @Cloudflare, Cloud or Enterprise.
Plus:
- A Solutions Engineer to help design and build
- A support plan
- Launch partnering and co-promotion
Apply. 🔗 https://t.co/VRXNpgPzUa
Build real-time apps for users anywhere in the world with Live Queries on @SurrealDB Earth, powered by @Cloudflare.
Try now for FREE: https://t.co/ykyNtXZtqW
I’m so happy about surrealdb 4 updates. I’ve built many of my ideas around surrealdb and firebase. Surrealdb at scale proofs my bets are gaining positive momentum
An agent’s memory needs more than vector search, it needs hybrid retrieval.
With SurrealDB 4, you can retrieve by meaning, follow connections and match exact words in one SurrealQL query and one transaction. See the query and what it returns. 👉 https://t.co/ndqTopKA78
When we first started building SurrealDB, I didn’t know the monumental effort needed to achieve our vision. Building for AI agents or a billion people asks a lot of a database.
Today, I can say we’ve achieved it with SurrealDB 4. New query core, 240+ fixes, 4,500 test files on every change.
🔗 https://t.co/uM7zFfmnDk
It’s impressive what the team has been cooking up and delivering week after week...
Congratulations to the entire team on this week’s landmark launch—I’m certain it marks the beginning of a new era for SurrealDB...
"World domination" mode: ACTIVATED!
@Covenantlabsai@tobiemh SurrealDB is unique in that it has a granular, per row based permissions model. Our agent memory product offers scopes, to provide granular control over where and how memories are stored and surfaced in conversations and workflows.
@hecodesforme@tobiemh No, earth scales seamlessly to many workers based on the load. It supports millions of connections, and billions of rows, all with a simple, predictable pricing model.
@deeponailabs@SurrealDB 4.0 has significant improvements with query planning, so it should be much faster across the board! If you find otherwise please do let us know!
One query. Thousands of compute units. One answer.
A SurrealDB Earth query is split across thousands of database compute cells on @Cloudflare and merged into one result, every leg reading the same point in time. 10+ billion peak rows per second, fully transactional.
🔗 https://t.co/2gdpUJGIhK
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 🌍
SurrealDB 4 and @SurrealDB Earth are out today.
When we started SurrealDB, I wanted one database that could hold every shape of data and query it all together.
Now every agent, user and app can have a database of its own.