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Creating a Discord Chat Bot with pyTigerGraph
Creating a Chat Bot to Answer TigerGraph Questions with Discord.py and pyTigerGraph by Shreya Chaudhary What is the Project and Why Complete it? A
January 13, 2021
Cycle Detection in TigerGraph
A cycle is a path of edges and vertices that connect together to form a loop. In a directed graph, all the edges must point
May 9, 2019
Enhanced Pattern Matching Query Syntax
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
April 30, 2019
Cognitive Computing, Associative Memory and Graph
How to Build an Associative Memory Capability in 1 Hour Recently I came across a wonderful presentation about Cognitive Computing and Associative Memory. Intel Saffron
April 23, 2019
The $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?
As the deadline to file the taxes, April 15th looms large in the United States, I have been thinking about paying our fair share of
April 15, 2019
Machine Learning and Deep Link Graph Analytics: A Powerful Combination
Originally Posted on KDNuggets. Machine learning (ML) – an aspect of artificial intelligence (AI) that allows software to accurately identify patterns and predict outcomes –
April 14, 2019
Hansel and Gretel & Big Data Analytics with Graphs
My daughter, a high schooler heard me chatting with a client last week and asked me, “Why do you keep going on and on about
April 8, 2019
The Road to a Standardized Graph Query Language: GQL, Part 2
Last month I wrote about the ISO meeting in Brisbane, working towards a standard query language for property graphs. I recently returned from Berlin, where the World
March 15, 2019
Graph Pattern Matching in GSQL
In this short technical blog, I will show you how to use GSQL to search a graph for all the occurrences of a small graph
March 13, 2019
How Graph Databases are Transforming Energy Management Systems (EMS)
The economic impact of a power outage is massive. Energy consultant E Source claims that eight key U.S. market segments are losing about $27 billion
March 7, 2019
The Road to a Standardized Graph Query Language: GQL, Part 1
Last month I had an epiphany, 10,000 miles from home. It wasn’t until the second day in Brisbane that it struck me…I was sitting on
February 25, 2019
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?
February 5, 2019
GSQL Now and In The Future
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
January 15, 2019
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
November 4, 2019
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
May 30, 2019
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
November 27, 2018
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
November 15, 2018
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:
May 22, 2018