The Relational Model Breaks Down
Franchise data is inherently relational in ways that SQL databases handle poorly. A single customer transaction touches a location, an employee, a set of products, a marketing campaign, and a time period. In a relational model, answering questions that span these entities requires expensive multi-table joins.
Graphs as a Natural Fit
In a property graph, these relationships are stored as first-class edges rather than foreign keys. Traversing from a customer to their transactions to the locations they visit to the employees who served them is a single graph walk — no joins required.
Performance Implications
For our most common query patterns, the graph approach delivers 10-100x performance improvements over equivalent SQL queries, especially as the dataset grows. Relationship traversals in a graph database run in constant time regardless of total dataset size.
