Data Graph Database

Purpose

Design graph data models for connected domains (social networks, recommendation engines, knowledge graphs, fraud detection) with optimal traversal patterns, platform selection, and scaling strategy.

Agent Protocol

Trigger

Exact user phrases: "Neo4j", "Amazon Neptune", "JanusGraph", "graph database", "graph model", "Cypher", "Gremlin", "RDF", "SPARQL", "graph traversal", "property graph", "knowledge graph", "graph schema", "node label", "relationship", "graph query".

Input Context

Before activating, verify:

• Domain data (nodes, relationships, properties, cardinality)
• Query patterns (depth of traversal, path enumeration, aggregations)
• Transaction volume (reads/sec, writes/sec, complexity)
• Consistency requirements (ACID vs CQRS)
• Existing graph platform or greenfield
• Integration points (existing databases, streaming, ML pipelines)
• Expected graph size (millions, billions of nodes/edges)