Oracle Graph

Oracle Graph is a set of graph capabilities built into the Oracle Database, rather than a standalone product. It supports two graph models: property graphs, queried using PGQL (Property Graph Query Language) or SQL/PGQ, Oracle's implementation of the ISO SQL:2023 graph query standard; and RDF graphs, queried using SPARQL. Property graph data is stored directly in Oracle Database tables and can be loaded into an in-memory graph server — Oracle Graph Server — for high-performance analytics and traversal. The graph server runs graph algorithms from a built-in library covering pathfinding, centrality, community detection, and PageRank, and supports Python and Java APIs for programmatic access. RDF support handles triples and quads stored in the database, with OWL inference, SPARQL 1.1 querying, and integration with semantic web standards. Because graph data lives inside Oracle Database, it inherits existing security, access control, backup, and transaction management without additional configuration. It integrates with Oracle's wider analytics and machine learning tooling. It is aimed at organisations already running Oracle Database that want to add graph analytics to existing data without deploying a separate graph database. The primary use cases are fraud detection, network and dependency analysis, identity and access graphs, and knowledge graph construction over enterprise data.