TigerGraph

TigerGraph is the enterprise AI infrastructure and graph database leader, delivering massively parallel storage and computation that scales independently. Founded in 2012 by Dr. Yu Xu under the name GraphSQL, the company emerged from stealth in 2017 with $33 million in funding. TigerGraph's native parallel graph database uses a purpose-built query language (GSQL) for fast, efficient data and algorithm processing, enabling real-time analytics on datasets with billions of vertices and edges. Primary use cases include fraud detection, anti-money laundering, supply chain analytics, customer 360, and enterprise knowledge graphs. The platform is available as a managed cloud service and self-managed enterprise edition, and underpins machine learning pipelines that require graph-structured feature engineering at scale.