Modelling a financial services enterprise ontology in SurrealDB

The text provides an overview of modeling a financial services enterprise ontology using SurrealDB, focusing on graph-based representations to simplify complex queries regarding ownership and control within financial institutions. It highlights the challenges traditional relational databases face in answering questions about beneficial ownership and control over financial instruments, which often require complicated and brittle reporting processes. SurrealDB allows these entities—such as legal entities, natural persons, accounts, and instruments—to be represented as nodes in a graph, with relationships like ownership, custody, and transactions depicted as edges that carry their own data. This approach enables recursive queries that provide insights into ownership structures and transactional relationships without the need for cumbersome joins or external graph databases. The text outlines how SurrealDB's architecture supports precise monetary values and efficient query mechanisms, making it an ideal tool for KYC, AML, and risk reporting in financial services by integrating these capabilities into a single, unified database system.

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