Intuit Combines Graph and AI to Boost Fraud Detection by 50%
A Look at How the Financial Software Leader Overcame Key Challenges to Realize the True Benefits of Graph by Uri Lapidot, Senior Product Manager. Graph-based
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
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:
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
Real-Time Deep Link Analytics: Challenges and Solutions
Thank you to everyone who attended our BigGraph Meetup presentation last night! Our Senior Product Manager Victor Lee spoke about how our technology enables real-time
Meetup on Oct 11 in San Mateo
This Wednesday, we’re hosting our first gathering for the newly-formed Big Graph group in Meetup. The topic is “Real-Time Deep Link Analytics for BigGraph: Challenges
New: TigerGraph Test Drive Demo Videos
Imagine the relational discovery or analytics you could perform.. if you could traverse 10+ hops in a billion-vertex graph as fast as your can click
Introducing TigerGraph, a Native Parallel Graph Database
By Yu Xu, TigerGraph founder and CEO Today we proudly launch TigerGraph, a ground-breaking technology built from the ground up to address a critical pain
What Are the Major Advantages of Using a Graph Database?
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
Sink Your Teeth Into FIBO with A Native Parallel Graph Database
Authored by TigerGraph Solutions and Engineering Financial institutions have massive volumes of highly interconnected and structured data, which they need to ingest in real time
Leveraging Geospatial Data with a Native Parallel Graph Database
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?
Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone
Today we are proud to introduce TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. As
Building a Graph Database on a Key-Value Store?
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
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: