Gartner Research

“By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise.” 

 – Rita Sallam, Distinguished VP and Fellow, Gartner Research

Gartner, Inc.: Graph Steps Onto the Main Stage of Data and Analytics: A Gartner Trend Insight Report. Published 14 December 2020.

Gartner Research Reports

Graph Steps Onto The Main Stage Of Data And Analytics

After almost two decades of playing a small but powerful role in advanced analytics, graph is becoming the must-have technology for organizations wanting to obtain greater business value from their data.

Market Guide To Graph Database Management Solutions

It's often difficult for data and analytics professionals to distinguish between different implementation models and fit them into their use case. This Market Guide describes available graph database management solutions. Download your complimentary report and learn how TigerGraph compares with other DBMS vendors.

Cool Vendors In Data Management

TigerGraph was named a “Cool Vendor” in Gartner’s May 2020 Cool Vendors in Data Management report. Gartner identifies graph as one of the top 10 data and analytics trends that will grow at 100% annually to accelerate data preparation and integration, and enable more adaptive data science.

Dr. Jay Yu | VP of Product and Innovation

Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems