What are Graph Databases?

Graph databases store data as nodes (entities) and edges (relationships) instead of in tables with rows and columns. This allows highly connected data and complex relationships to be represented and queried efficiently. Well-known examples include Neo4j and Amazon Neptune.

Why does this matter?

Business processes consist of diverse, interconnected objects such as orders, invoices, and customers. Graph databases represent this reality more naturally than relational models and are the technological foundation for modern approaches such as Event Knowledge Graphs and Causal Process Mining.