Crossing the Chasm – Eight Prerequisites For A Graph Query Language
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…
Finding Needles in a Haystack with Graph Databases and Machine Learning
You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What is Machine Learning and why…
TigerGraph: The parallel graph database explained
Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both performance and analysis capabilities—when the volume of data grows…
Blockchain, Bitcoin and The Art of Rolls Royce Repair
Two questions always come up when I tell people that I work on blockchain. The first question is “Where do I get started with blockchain in my organization?” and that’s…
Introducing TigerGraph 2.0
Today we are proud to announce TigerGraph 2.0 with real time MultiGraph collaboration services - an industry first that supports upcoming GDPR requirements. The release is all part of TigerGraph’s…
Fighting Money Laundering with Real-Time Deep Link Analytics
Today, criminals are using extremely sophisticated, ever-adapting tactics to bypass traditional anti-fraud solutions for money laundering. Any organization facilitating financial transactions – including non-bank money service businesses such as digital/mobile…
Infographic: The Graph Database Landscape
Graph databases are the fastest growing category in all of data management, according to DB-Engines.com. What makes graph databases so popular? Graphs overcome the big and complex data challenges that…