Unlock hidden connections with SurrealDB

Transform siloed data into dynamic networks of meaning - combine graphs, documents, and ML in one real-time engine.

The problem

Siloed data slows insights and increases costs. Traditional systems force you to choose between depth and agility.

Disconnected tools

Graph databases, document stores, and ML pipelines require complex integration.

Rigid architecture

Struggles to evolve as new entities and relationships emerge.

Slow insights

ETL delays mean outdated knowledge graphs.

The solution

SurrealDB’s adaptive knowledge graph. With native support for graphs, JSON documents, vector search, and real-time updates, you can build dynamic, evolving knowledge graphs.

Graph and multi-model flexibility

Graph and multi-model flexibility

Store entities as documents and relationships as graph edges - all in one query. Enrich graphs with vector embeddings.

Real-time relationship inference

Real-time relationship inference

Detect new relationships with ML-powered inference. Traverse vast graphs in milliseconds.

Dynamic schema evolution

Dynamic schema evolution

Start unstructured, then refine schemas as your ontology matures - without painful migrations.

Real-time updates

Real-time updates

Instantly reflect data changes - no nightly batch jobs.

ML-enhanced insights

ML-enhanced insights

Infer missing links and classify entities in real-time.

Scalability without trade-offs

Scalability without trade-offs

Scale horizontally while maintaining full ACID compliance.

Ready to build smarter,
deeper knowledge graphs?

Contact the team today