SurrealDB
Multi-model database combining documents, graph, relational and vector data
About SurrealDB
SurrealDB develops a multi-model database that handles relational, document, graph, time series and vector data through its own SurrealQL query language. It can run embedded, self-hosted or as the managed Surreal Cloud. It targets developers building applications and AI agents that need several data models in one engine.
Common use cases
- Application backends
- AI agent memory
- Knowledge graphs
- Real-time apps
Products and services
SurrealDB
Open source multi-model database.
Surreal Cloud
Managed database service.
Surrealist
Visual management and query tool.
Key features
- Multi-model data
- SurrealQL
- Graph relations
- Vector search
- Real-time queries
- Embedded mode
Integrations
- Rust
- JavaScript
- Python
- Kubernetes
- LangChain
SurrealDB alternatives
FAQs
What is SurrealQL?
Its SQL-like query language covering relational, document and graph queries.
Is it open source?
Yes, with a managed cloud service.
Does it support vectors?
Yes.
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