The insideBIGDATA IMPACT 50 List for Q3 2018
The selected companies come from our massive data set of vendors and industry metrics. Yes, we use machine learning to analyze the industry in a detailed manner to determine a…
What Enterprises Should Know About Selecting a Graph Query Language
When making a decision on which graph DB in which to invest, admins must take into account the development language the enterprise is going to use. There are different nuances…
How Graph Analytics Is Powering E-Commerce
Recently, we have seen the next-phase in the graph database evolution, with technology fulfilling the needs of e-Commerce by providing Deep Link Analytics. This enables customer intelligence in real time,…
Modern Graph Query Language – GSQL
Today, enterprises use graph technology as a competitive edge for customer analytics, fraud detection, risk assessment and other complex data challenges. The technology offers the ability to quickly and efficiently explore, discover and predict…
Combating fraud and money laundering with graph analytics
Graph analytics is an ideal technology to support AML. Graphs overcome the challenge of uncovering the relationships in massive, complex and interconnect data. The graph model is designed from the…
TigerGraph Appoints Dr. Alin Deutsch As Chief Scientist
TigerGraph, the world’s fastest graph analytics platform for the enterprise, today announced that it named as its chief scientist Dr. Alin Deutsch, professor of Computer Science and Engineering at the…
TigerGraph Offers Graph Database Test Drive
TigerGraph, the startup that emerged last fall with a new native parallel graph database, released a free “developer edition” this week with the goal of giving potential users a test…
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