Consolidate your
database stack
Unify relational, document, graph, and more, without
compromising flexibility, scalability, or performance.
Unify relational, document, graph, and more, without
compromising flexibility, scalability, or performance.
Database sprawl is costly and complex. Applications need diverse data models - SQL for transactions, JSON for unstructured data, and graphs for relationships. Managing multiple databases like PostgreSQL, MongoDB, and Neo4j leads to duplication, integration headaches, and expensive overhead.
Pay (and manage) 5+ services for necessary features.
Updates in one system cause issues elsewhere.
Bolt-on services introduce unnecessary database latency.
SurrealDB’s multi-model architecture. It unifies relational, document, graph, time-series, and vector data - accessible through one query language. No more fragmentation.
Cut support fees, infrastructure costs, and dev time.
One API, one query language, one source of truth.
Blend models (e.g., graph-enriched docs with analytics).
Adapt to new needs without adding more databases.
Get started with SurrealDB: the multi-model database for modern applications, eliminating outdated complexity.
