HARSH REALITY UNFOLDS!
What happens when your Graph Database isn't fast enough and cannot scale? Don't get caught with Old Analytics. We are battle-ready! Contact firstname.lastname@example.org for a meeting or call. Or download our white paper.
Leap Forward with Tigergraph’s Native Parallel Graph Database.
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
TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s proven technology connects data silos for deeper, wider and operational analytics at scale.
- Seven out of the top ten global banks use TigerGraph for real-time fraud detection.
- Over 50 million patients receive care path recommendations to assist them on their wellness journey.
- 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph.
- The energy infrastructure for 1 billion people is optimized by TigerGraph for reducing power outages.
- TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI, and machine learning.
Get started FREE with TigerGraph here
Joseph Lee Vice President Asia Pacific & Japan TigerGraph
Irene Ang Founder and CEO FLY Entertainment
Benjamin Heng FLY Entertainment Artiste