We use graph databases every day and probably don’t know it. Every time we visit Linkedin, we’re getting results from the social networking site’s professional network graph built on graph database. Facebook, Instagram, and Twitter all use graph databases and analytics to understand how users relate to each other and connect them with the right content. TigerGraph is a new kind of graph database, a native parallel graph database purpose-built for loading massive amounts of data (terabytes) in hours and analyzing as many as 10 or more hops deep in to relationships in real-time. TigerGraph supports transaction as well as analytical workloads, is ACID compliant, scales up and out with database sharding. TigerGraph’s proven technology supports applications such as fraud detection, customer360, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Intuit, China Mobile, Wish and Zillow.