Graph databases like Neo4J for fraud detection (with concrete examples)

Graph databases like Neo4j excel at fraud detection use cases such as money laundering, identity theft, and suspicious transaction patterns. Relationships between entities—shared addresses, shared personal identifying information, or small circular transactions among a group—are naturally visible in a graph structure, whereas detecting these patterns in a relational database is significantly harder.