Press

Press

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Look ma, no code: TigerGraph looks to attract wider audience for niche-but-growing DB segment

Graph database vendor gets graphical and promises slick extraction from relational data stores. Learn more here.

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TigerGraph Continues Product Innovation With Newest “Graph for All” Release

TigerGraph 3.0 Brings “No Code” Advanced Graph Analytics to Everyone. Learn more here.

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Silicon Angle

TigerGraph Simplifies Graph Queries and Relational Migration, Offers Free Access to Coronavirus Researchers

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Read more here.

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techtarget

TigerGraph delivers no-code tools, free use for COVID-19 analysis

No-code tools that enable users to migrate to graph databases and model data for queries highlight TigerGraph 3.0. The vendor also extended free access to tools to track COVID-19. Read more here.

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How the World’s Largest Banks Use Advanced Graph Analytics to Fight Fraud

Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers. Read more here.

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Five Forward Looking Thoughts on Data Analytics

CEO, Dr. Yu Xu:

The phrase “2020 vision” implies that someone is able to see clearly. In this article I examine five technologies that have the potential to have a profound impact on business leaders’ ability to see the future clearly and make better-informed decisions in 2020.

Read the five predictions for 2020 here.

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The insideBIGDATA IMPACT 50 List for Q1 2020

TigerGraph has moved up to spot 19 on The insideBIGDATA IMPACT 50 List for Q1 2020. See more here.

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techtarget

Up-and-coming BI vendors to watch in 2020

Promising BI startups look to gain a foothold in 2020 by focusing on underserved markets and embracing next-gen technologies not available in traditional analytics tools. Read more here.

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Diagnosis Fraud: How Data Science Can Diagnose Healthcare Fraud and Identify Dirty Doctors

Think of it as AI, ML, and graph for good by taking a proactive and preemptive approach to identifying patterns and eradicating illegal and irresponsible activities. Read more here.

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Relational databases can no longer tackle white collar crime

Native parallel graph databases may be useful here. They can dig deep through money trails, going as many levels as needed, 10, 20 or more, across datasets on a global scale. They are designed to traverse unknown paths to find connections, no matter how deep that connection goes. Read more here.

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