Unlock hidden connections
with SurrealDB
Transform siloed data into dynamic networks
of meaning - combine graphs, documents, and ML in one real-time engine.
Transform siloed data into dynamic networks
of meaning - combine graphs, documents, and ML in one real-time engine.
Siloed data slows insights and increases costs. Traditional systems force you to choose between depth and agility.
Graph databases, document stores, and ML pipelines require complex integration.
Struggles to evolve as new entities and relationships emerge.
ETL delays mean outdated knowledge graphs.
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.
Store entities as documents and relationships as graph edges - all in one query. Enrich graphs with vector embeddings.
Detect new relationships with ML-powered inference. Traverse vast graphs in milliseconds.
Start unstructured, then refine schemas as your ontology matures - without painful migrations.
Attach JSON documents to nodes and edges for richer context.
Instantly reflect data changes - no nightly batch jobs.
Infer missing links and classify entities in real-time.
Scale horizontally while maintaining full ACID compliance.
Get started with SurrealDB: the multi-model database for knowledge-intensive applications.
