PDBDB is a specialist database consultancy: Oracle development & APEX, Business Intelligence, data warehousing with Data Vault, and graph databases with RDF and Neo4j.
For most of the industry's history, a data model only had to satisfy one reader: the application built on top of it. A foreign key meant something because a developer wrote the join and remembered why. That's changing. AI systems are becoming primary consumers of data — not through hand-written queries, but by reading structure and inferring meaning on their own.
That's what ontology is for. An ontology doesn't just say where data lives, it says what the data means: how an order relates to a customer, what a "similar_to" edge implies, which properties are facts and which are inferences. Get the ontology right and a machine can reason over your data correctly. Get it wrong, and every downstream answer inherits the ambiguity.
PDBDB works at both ends of that problem. We build on Oracle, run Business Intelligence on top of it, and design data warehouses with Data Vault — because clean, consistent, auditable storage is still the foundation everything else stands on. And we build RDF and graph models alongside that, because that's where relationships become explicit and data starts to explain itself.
Constraints, normalization, and auditable warehouse design keep data honest, load after load — the ground truth everything else is built on.
Explicit relationships and shared vocabularies make data legible — not just to your application, but to whatever reads it next.
The data models we build today aren't just storage. They're the ontology an AI will use to understand your business tomorrow.
Custom Oracle database development and low-code applications built with APEX — from schema design to production-ready apps.
Dashboards and reporting layers that turn raw data into decisions your teams can actually act on.
Scalable warehouse architectures built on Data Vault modeling — auditable, flexible, and built to absorb change.
RDF and Neo4j modeling for connected data — knowledge graphs, recommendations, and fraud detection.
Tell us what you're modeling and we'll tell you how we'd approach it.