TigerGraph Named ‘Best In Show’ In SD Times 100 For Software Development: Database And Data Management
Graph Database Leader Recognized for Continued Innovation in Solving Today’s Most Complex Business Challenges with Graph Analytics
TigerGraph, the only scalable graph database for the enterprise, announced that it has been recognized as ‘Best in Show’ for the category of Software Development: Database and Data Management in the prestigious SD Times 100. Judged by the editors of SD Times, each year the award recognizes companies, non-commercial organizations, open source projects and other initiatives for their innovation and leadership.
“Customers have long been demanding an enterprise scale graph database and this recognition by SD Times helps validate their requirements for true graph database innovation,” said Dr. Yu Xu, CEO and founder, TigerGraph. “We’re committed to empowering enterprises by giving them the ability to understand complex sets of relationships within their data so that they can make more informed business decisions.”
TigerGraph offers the world’s fastest graph analytics platform that tackles the toughest data challenges in real-time, no matter how large or complex the data set. TigerGraph stores all data sources in a single, unified multiple-graph store that can scale out and up easily and efficiently to explore, discover and predict relationships. Unlike traditional graph databases, TigerGraph can scale for real-time multi-hop queries to trillions of relationships.
TigerGraph has received multiple awards as a result of the company’s innovative technology and commitment to helping customers unlock business value from connected data. Recent awards include InfoWorld’s Editor’s Choice, with a 4.5 star review for TigerGraph 2.2, Strata Data New York’s “Most Disruptive Startup”, SD Times’ “Companies to Watch in 2019,” Database Trends and Applications’ (DBTA) “Trend-Setting Products for 2019” and insideBIGDATA’s IMPACT 50. In addition, Dr. Yu Xu, CEO of TigerGraph, was named to the Corinium Top 100 Data & Analytics professionals.
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