Oracle and ontology

Opinion
Vendors
Graph Databases
Semantic Web
Oracle has supported RDF, OWL inference and SPARQL since 2007 and added SQL/PGQ and vector search in 23ai, but still lacks a real document ingestion story.
Published

February 16, 2026

Illustration: Oracle and ontology

It’s more substantial than you think. Oracle has had native RDF, OWL inference, and SPARQL support in its database since 2007, predating most dedicated triplestores that are household names today. With Oracle 23ai they added SQL/PGQ (ISO standard property graph queries in plain SQL), integrated vector search, and LLM-based triple extraction from unstructured documents. Basically, full scale multi-modal.

At the same time, they have no story around intelligent document ingestion, ontology-guided extraction pipelines, or structured LLM output with validation. Their LLM integration is demonstrator-level. The interesting divide in this space is not RDF vs LPG anymore. It’s between systems that store knowledge and systems that build it.

Oracle owns the first category at enterprise scale. The second is (I mentioned it many times) wide open.

Oracle and RDF