TigerGraph's 2026 pitch is "AI-Powered Graph Database for Real-Time Analytics & Connected Data," with Savanna as the cloud, GSQL as the language, and GraphRAG as the AI differentiator ("Achieve Explainable and Accurate GenAI"). It's a great engine for buyers building their own graph application — fraud detection, AML, real-time recommendations. We are not an engine; we are the application — identity, pre-loaded, anchored to ground truth, with a resolution pipeline that runs continually. TigerGraph is the right answer when your team is building a graph nobody else has, or when the analytics shape is the problem (fraud rings, supply networks, real-time pattern detection). We are the right answer when the question is identity, the answer is a graph, and writing it is not the job you signed up for.
TigerGraph is optimized for the kind of analytics — fraud rings, real-time pattern matching, supply-chain risk graphs — that need a different engine than a generic graph DB. That is a real category. It is not our category. Our buyers are not running real-time fraud queries; they are resolving identity for activation, for audit, for compliance. The shape of the work is different.