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Read more about the article The $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?

The $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?

  • Post author:Todd Blaschka
  • Post published:April 15, 2019
  • Post category:blog/Business/Graph Database Market/Graph Databases

As the deadline to file the taxes, April 15th looms large in the United States, I have been thinking about paying our fair share of taxes and what we can…

Continue ReadingThe $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?
Read more about the article Hansel and Gretel & Big Data Analytics with Graphs

Hansel and Gretel & Big Data Analytics with Graphs

  • Post author:Todd Blaschka
  • Post published:April 8, 2019
  • Post category:blog/Developers/Graph Databases/GSQL

My daughter, a high schooler heard me chatting with a client last week and asked me, “Why do you keep going on and on about GSQL and something called the…

Continue ReadingHansel and Gretel & Big Data Analytics with Graphs
Read more about the article How Graph Databases are Transforming Energy Management Systems (EMS)

How Graph Databases are Transforming Energy Management Systems (EMS)

  • Post author:Todd Blaschka
  • Post published:March 7, 2019
  • Post category:blog/Business/Graph Databases

The economic impact of a power outage is massive. Energy consultant E Source claims that eight key U.S. market segments are losing about $27 billion per year due to power…

Continue ReadingHow Graph Databases are Transforming Energy Management Systems (EMS)
Read more about the article Leveraging Geospatial Data with a Native Parallel Graph Database

Leveraging Geospatial Data with a Native Parallel Graph Database

  • Post author:Emily McAuliffe
  • Post published:February 5, 2019
  • Post category:blog/Developers/Graph Database Market/Graph Databases

Paradigm Shift Enables TigerGraph to Uncover Hidden Insights from Geolocation Data Have you wondered how you can add and leverage geospatial data to your applications? There is a massive amount…

Continue ReadingLeveraging Geospatial Data with a Native Parallel Graph Database
Read more about the article Graph-Based Customer Entity Resolution

Graph-Based Customer Entity Resolution

  • Post author:Yu Xu
  • Post published:December 18, 2018
  • Post category:blog/Developers/Graph Databases

1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their products, their employees, etc. The…

Continue ReadingGraph-Based Customer Entity Resolution
Read more about the article Building a Graph Database on a Key-Value Store?

Building a Graph Database on a Key-Value Store?

  • Post author:Yu Xu
  • Post published:November 15, 2018
  • Post category:blog/Developers/Graph Database Market/Graph Databases

by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link…

Continue ReadingBuilding a Graph Database on a Key-Value Store?

Half-Terabyte Benchmark Neo4j vs. TigerGraph

  • Post author:Emily McAuliffe
  • Post published:October 1, 2018
  • Post category:Benchmark/blog/Graph Database Market/Graph Databases

Neo4j's loading time is shorter than TigerGraph; however, Neo4j requires extra preprocessing that extracts the vertex file from the edge file. After including the pre-processing time, Neo4j takes longer time to loading than…

Continue ReadingHalf-Terabyte Benchmark Neo4j vs. TigerGraph
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Dr. Jay Yu

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

Todd Blaschka | COO

Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.