Introducing TigerGraph 3.2
TigerGraph Delivers Latest Large-Scale, Enterprise-Grade Graph Solution to Meet Ever-Growing Customer and Market Demand TigerGraph today announced its next major product release, TigerGraph 3.2 —
TigerGraph Community: September Updates
Hello TigerGraph Community! Here’s the September Developer Update. So take a five-minute break, grab a snack, and scroll through the topics below. Top News
Graph + AI Summit comes to New York on October 19, 2021
The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. Speakers from Graph + AI Spring in April
Knowledge Graph and NLP revolutionize the way AML looks at PEPs
This is an abbreviated version of a presentation by Maria Singson and Deepti Soni, Mastech Infotrellis during the Graph + AI Summit 2021 conference The
Graph + AI Summit comes to San Francisco on October 5, 2021
The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. Speakers from Graph + AI Spring in April
TigerGraph Powers a New Class of Member-Centric Analytics for Personalised Health Insurance
By Charlie Beveridge TigerGraph helps health insurers model and analyse all patient medical and claims data in order to personalise treatment, proactively encourage good health,
Decision Trees in TigerGraph
This blog post was originally featured on Towards Data Science and is written by Parker Erickson, Data Science / Machine Learning Intern at TigerGraph Make
Graph Adoption in Property and Casualty Insurance
This is an abbreviated version of a presentation by Sai Burra, Abhay Solutions, during the Graph + AI Summit 2021 Conference. Many insurance companies have
TigerGraph Community: August Updates
Hello TigerGraph Community! Here’s the August Developer Update. So take a five-minute break, grab a snack, and scroll through the topics below. Artboard 24 Top
A Guide to Combating Financial Crimes With Graph Databases and Analytics
By Heather Adams, Managing Director, Accenture originally featured in our Spring 2021 Graph + AI Summit. Watch here. Detecting financial crime is not just a
TigerGraph is The Key to Approving Pharmaceutical Drugs Faster
by Charlie Beveridge Why is there focus on more drugs, faster? The need for rapid drug discovery and approval has never been more salient as
Building YouTube/TikTok Recommendations in TigerGraph
This article will demonstrate how you can build your own analytical video recommendation system using GraphStudio through TGCloud. I have provided the source files below,
Exploring the Benefits of Being a TigerGraph Partner
This is an abbreviated version of a presentation by Michael Shaler & David Ronald, TigerGraph, during the Graph + AI Summit 2021 conference Graph analytics
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:
