The selection of the right database that is ideal for your specific application is a key decision in application architecture design. Today, there are so many options beyond traditional relational databases to choose from. This talk is a conversation on how graph databases are ideal for fraud and compliance applications, with database characteristics far superior to relational databases for this use case. This talk will be a case study on how RippleNami used an open-source graph database to develop a tax compliance program for the country of Uganda. In other words, the application finds tax cheaters, being the first to combine federal data with local government data. This enterprise application enabled the Uganda government to achieve their highest tax collection quarter ever, improving their tax collection rate by 44% within the first 6 months of product release.