In-memory or persistent? Yes. Our new in-memory storage engine. Lock-free.
Reads never write to shared memory, so they keep scaling as you add cores. 21.51 million point reads per second across 15 million keys, on a 32-core, 64-thread AMD Ryzen Threadripper 9970X with 128 GB of RAM and an NVMe SSD. It runs embedded in an application, in the browser and on a server, and can persist to disk when the workload requires it.
- 28.3×
- Faster than RocksDB in-memory for reads
- 17.5×
- Faster than LMDB in-memory for reads
- 6.61×
- Faster than LMDB in-memory for updates
Blog
Benchmark
Whitepaper
Documentation
GitHub
Speed or durability? Yes. Our new persistent storage engine. We are replacing RocksDB.
It will be the only persistent storage engine in SurrealDB 4, fully durable and fully transactional. 6.80 million point reads per second across 500,000 keys with every commit flushed to disk, on a 32-core, 64-thread AMD Ryzen Threadripper 9970X with 128 GB of RAM and an NVMe SSD.
- 7.95×
- Faster than RocksDB for reads, fully durable
- 26.8×
- Faster than RocksDB for creates, fully durable
- 73.7×
- Faster than SlateDB for reads, fully durable
Blog
Benchmark
Whitepaper
Documentation
GitHub
Memory or accuracy? Yes. SurrealDB Agent Memory. Memory you can finally trust.
Every fact keeps its history, its permissions and its source, in one SurrealDB engine. Know what changed, when it changed, who can see it and where it came from.
- 77.2%
- BEAM 1M, Gemini 3.5 Flash Lite judge, 700 questions
- 57.1%
- BEAM 1M questions with every rubric item fully met
Blog
Benchmark
Deep‑dive
Documentation
Get started
Files or database? Up next.
Simplicity or scale?
SQL or SurrealQL?
Transactions or speed?
Stop choosing.
Build with all of it.
Start for free In the cloud
A free SurrealDB Cloud instance, ready in minutes.
Install SurrealDB On your machine
Run SurrealDB locally with one command.
Read the docs Start building
Guides and reference for SurrealDB and SurrealQL.
Agent Memory Start in Studio
Memory for agents, on the same engine as the database.
Star us on GitHub Built in the open
Follow every release and the code behind it.
Talk to us Plan your deployment
Work through your architecture with the SurrealDB team.
THE PLATFORM
Everything an application and its agents know. Five surfaces, one engine.
Database
Document, graph, vector, time-series and relational in one engine.
Agent Memory
What an agent learns, with its source and its time, in the same engine.
Cloud
Managed clusters in the regions you choose, scaled on demand.
Studio
Query, explore and design the schema from the browser.
MCP
Every model that speaks MCP reaches the database and the memory directly.
IN PRODUCTION
Trusted at scale. Samsung, Nvidia, Verizon, Tencent, and Walmart run on SurrealDB.
14,000+
Developers building on SurrealDB Cloud
4M+
Developers building on SurrealDB worldwide
FROM THE TEAMS
SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.
VP of Engineering, Later