It Is Time for A Modern Graph Query Language
The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see…
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…
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…
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…
Webinar: TigerGraph – The Enterprise Graph Database and Analytics Platform
Whether it's for customer analytics, fraud detection, or risk assessment, you need real-time graph capabilities that can explore, discover and predict complex relationships. This is more than just connected data…
Welcome to the Graph Database Market, Amazon Neptune
The graph database market is red hot and growing rapidly. It’s exciting to see cloud service giants now also positioning themselves as graph database providers: IBM and Microsoft announced graph…
Security Features in TigerGraph
TigerGraph knows how important security and productivity are to enterprises. That’s why we’re announcing the capability to define multiple graphs, separate or overlapping, each with its own set of users…
