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Read more about the article Truth Behind Neo4j’s “Trillion” Relationship Graph

Truth Behind Neo4j’s “Trillion” Relationship Graph

  • Post author:Mingxi Wu
  • Post published:August 12, 2021
  • Post category:Benchmark/blog

Neo4j’s 100TB Demo is Smoke and Mirrors My interest in graph database benchmarks started with my conversation with Peter Boncz (LDBC chair) at SIGMOD 2018. He introduced me to the…

Continue ReadingTruth Behind Neo4j’s “Trillion” Relationship Graph
Read more about the article What Are the Major Advantages of Using a Graph Database?

What Are the Major Advantages of Using a Graph Database?

  • Post author:Mingxi Wu
  • Post published:November 4, 2019
  • Post category:blog/Developers/Graph Database Market/Graph Databases

A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a relational database is also a…

Continue ReadingWhat Are the Major Advantages of Using a Graph Database?

Accumulator 101

  • Post author:Mingxi Wu
  • Post published:July 23, 2019
  • Post category:blog/Community/Developers/GSQL

Originally featured on DZone Motivation GSQL is a Turing complete Graph Database query language. Compared to other graph query languages, the biggest advantage is its support of Accumulators — global or…

Continue ReadingAccumulator 101
Read more about the article Enhanced Pattern Matching Query Syntax

Enhanced Pattern Matching Query Syntax

  • Post author:Mingxi Wu
  • Post published:April 30, 2019
  • Post category:blog/Developers/GSQL

In our upcoming 2.4 release, TigerGraph will offer a major syntax extension in GSQL - pattern matching. Pattern matching enables users to focus on specifying what multi-hop path pattern they…

Continue ReadingEnhanced Pattern Matching Query Syntax
Read more about the article GSQL Now and In The Future

GSQL Now and In The Future

  • Post author:Mingxi Wu
  • Post published:January 15, 2019
  • Post category:About TigerGraph/blog/GQL/GSQL

Since the introduction of the TigerGraph Developer Edition in June 2018, the GSQL language has generated a lot of interest and a lot of valuable feedback. In general, the feedback…

Continue ReadingGSQL Now and In The Future
Read more about the article Amazon Neptune, the Truth Revealed

Amazon Neptune, the Truth Revealed

  • Post author:Mingxi Wu
  • Post published:August 29, 2018
  • Post category:Benchmark/blog/Graph Database Market/Graph Databases

In May this year, Amazon announced the General Availability of its cloud graph database service called Amazon Neptune. Here is a comprehensive blog that summarizes its strengths and weaknesses. Last…

Continue ReadingAmazon Neptune, the Truth Revealed
Read more about the article Crossing the Chasm – Eight Prerequisites For A Graph Query Language

Crossing the Chasm – Eight Prerequisites For A Graph Query Language

  • Post author:Mingxi Wu
  • Post published:May 22, 2018
  • Post category:About TigerGraph/blog/Graph Databases/GSQL

Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient…

Continue ReadingCrossing the Chasm – Eight Prerequisites For A Graph Query Language
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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.