Query highly connected data.
Native graph database for relationship-heavy queries. Traverse billions of edges in milliseconds with Cypher and Gremlin query languages.
Billions
Edges
< 10 ms
Traversal
Cypher / Gremlin
Languages
Full
ACID
Relationships, queried.
Billions of edges. Millisecond traversal.
Native graph engine
Index-free adjacency for constant-time edge traversal regardless of graph size.
Cypher & Gremlin
Support for both Cypher (Neo4j-compatible) and Apache TinkerPop Gremlin.
ACID transactions
Full ACID compliance for graph mutations.
Graph analytics
Built-in algorithms: PageRank, shortest path, community detection, centrality.
Multi-model
Store properties as JSON documents. Combine graph and document queries.
Visualization
Built-in graph explorer for interactive visualization and debugging.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur db graph create social-graph \
--engine=cypher --size=db-s-4vcpuGraph use cases.
Social networks, fraud, and recommendations.
Social network analysis
Model and query follower graphs, recommendations, and influence.
View tutorialSuggested configuration
Cypher · PageRank · Real-time
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
Graph Engine
Node Resources
Data & Backups
Plan & Commitment
Cost details
Traverse billions of edges in milliseconds.
Works seamlessly with
Frequently asked questions
Relationships, queried.
Traverse billions of edges in milliseconds.