A multi-node cluster runs SurrealDB on several nodes that share one storage layer, so that the database keeps serving when a node fails and query capacity grows as you add nodes. One server or one Kubernetes pod with a SurrealKV directory is the single-node, on-disk model.
Managed clusters
The Scale plan on managed instances runs multi-node clusters on distributed storage with replication and consensus. SurrealDB operates the storage layer, so a cluster is provisioned and resized from the Cloud dashboard, or from a script with surreal cloud.
Self-hosted clusters
Self-hosted multi-node clusters run SurrealDS, the distributed storage engine in SurrealDB Enterprise. Each node is a surreal start process that keeps a commit log on its own local disk, and all nodes keep the data in one object store bucket. A write is acknowledged when it is on disk in two zones, and the object store is not on that path.


Every node is a full SurrealDB server, so adding nodes adds query and read capacity. The data grows in the object store, so a database can grow without more nodes or larger disks.
SurrealDS overview: How a group commits writes, serves reads, scales and survives the failure of a zone.
Kubernetes operator: Run a group on Kubernetes from one
SurrealDSresource.Your own machines: Run a group on physical servers or virtual machines without Kubernetes.
Single-node deployments
Where one node is enough, file-backed storage covers an on-disk server, and Deploy on Kubernetes covers a single SurrealDB pod with SurrealKV on a persistent volume. Deployment models compares the options side by side.
For the flags accepted when starting a server, see the surreal db start reference.