Comparison
Find out how Curiosity gives you a finished context layer where GraphDB gives you a semantic database.
Context graph
AIRCRAFT
A320 · MSN 7420
Component
Bulkhead BK-204
Service bulletin
SB-118 · open
Supplier
Tier-1 · Hamburg
Maintenance
WO-5571 · closed
Relationships across systems, not just documents
Who each tool is for
Curiosity
For industrial teams that need structured context and on-premises control. Knowledge lives in engineering systems, structured records and regulated environments, and the answers have to reason over how those things connect.
Ontotext GraphDB
Ontotext GraphDB is an enterprise RDF graph database supporting OWL 2 profiles and SPARQL. It is widely used for ontology driven applications in life sciences, publishing and cultural heritage. It is a database and reasoning engine rather than a finished product.
GraphDB is a strong semantic database for ontology driven work. Curiosity is a finished context layer with connectors, search and the AI layer included, on your infrastructure.
A finished product, not a database
With GraphDB you model ontologies and build the surrounding system. Curiosity ships the whole layer together.
Search, AI and agents included
GraphDB stores and queries semantic data. Curiosity adds search, similarity, embeddings and agents, and connects the language model you choose.
Connected and in production
Curiosity connects your systems out of the box and runs where your data lives.
Side by side
Feature comparison
Deployment
Cloud or self hosted, ready to use
On premises or cloud
Data model
Managed context layer and knowledge graph
RDF with OWL profiles
Industrial fit
Built for industrial and enterprise teams
Life sciences and publishing
Data reach
Connects your sources out of the box
Modelled semantic sources
Residency
EU hosted, you control residency
You control, you host
Services Innovation Team, Airline Services at Airbus