Why choose
between worlds?
The freedom to traverse. The meaning to know what you’re traversing.
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An enterprise knowledge graph. Graph, relational and search in one engine.
Three ways to ask.
No three-way balancing act.
Three questions to help you decide what to evaluate. No score or registration.
Add a source. Change the model. Now keep every analytical engine in agreement.
Graph, relational and search share one engine. There are no separate analytical engines to keep in agreement.
When the model changes, reconciling separate analytical engines isn’t cheaper. It isn’t a job.
Why we break physicsThe freedom to traverse. The meaning to know what you’re traversing.
Persistent storage holds the graph. RAM supports the work.
Reported bounded tests: essentially flat per-hop latency from hops 2-15.
Scale deserves its own conversation.
About the figureStart with the problem you need to solve.
Connect your data, configure access and build the analysis or application you need.
See what’s already builtDATA + ONTOLOGY = KNOWLEDGE GRAPH
02 / ENTITY RESOLUTIONResolve identities. Inspect the evidence.
03 / CONNECTED ANALYTICSAcross 400+ billion objects.
04 / DATA APPLICATIONSNative tools, embedded charts and APIs.
05 / AI & CONTEXTResolve the context for the task, then give it to the model.
06 / ARCHITECTUREOn premises, in your cloud or air-gapped.