curiosity

Comparison

A modern alternative
to TigerGraph

Curiosity gives you a finished context layer; TigerGraph gives you a scalable graph database.

Records across systems joined into one typed graph Four source systems on the left feed a central aircraft record, which is joined by typed relationships to a component, a bulletin and a supplier, rather than by shared keywords. TicketsPart dataSupplier noticesField reports A320 ComponentBulletinSupplier TYPED RELATIONSHIPS, NOT KEYWORDS
Records from separate systems joined into one typed graph Three source systems feed a central aircraft record, which is linked by typed relationships to a component, a bulletin and a supplier. TicketsPart dataSupplier notices A320 Component Bulletin Supplier TYPED RELATIONSHIPS

Who each tool is for

Different problems, honestly stated

Curiosity

For industrial and regulated teams whose knowledge sits in engineering systems and structured records, where the answer depends on how those records connect, and where the deployment has to run on their own infrastructure.

TigerGraph

A distributed graph database queried with GSQL and openCypher, built for analytics over large graphs, with vector search for AI use cases. It is infrastructure for teams building graph applications.

How Curiosity compares

Graph analytics at scale, or the graph already built

TigerGraph is designed for deep queries over very large graphs. Curiosity is about getting the graph built at all: connected, enriched, kept current and permissioned.

A finished layer, not a database

A graph store gives you somewhere to put the data. Curiosity ships the connectors, the enrichment, the retrieval and the permissions on top of it.

Weeks, not a modeling program

Building a context layer on raw graph infrastructure is a project measured in quarters and staffed with ontology expertise.

Search and AI included

Hybrid retrieval and model routing come with the system rather than being the next two things to integrate.

Side by side

Feature comparison

CuriosityTigerGraph
DeploymentCloud or self-hosted, ready to useSelf-managed or cloud
Data modelManaged context layer and knowledge graphDistributed property graph
Industrial fitBuilt for industrial and enterprise teamsGraph analytics
Data reachConnects your sources out of the boxWhatever you load
ResidencyEU hosted, or entirely your own infrastructureYour choice
At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate vast data from multiple sources, including millions of documents.

Services Innovation Team

Airline Services at Airbus

Your data. Your infrastructure.

Connected knowledge for AI systems