Graph Databases Archives

Analytical Transaction Processing (ATP): Real-Time, Graph Decision-Making Made Easy

Post author:Yu Xu
Post published:August 25, 2020
Post category:blog / blogs / Business / Graph Databases

Originally posted on ITProPortal There are two “must have” ingredients to making effective business decisions: a complete contextual view of the situation and real-time data. Carl Olofson, Research Vice President…

Infection Chains: Discovering the Unknown using Graph Analytics

Post author:Amanda Morris
Post published:May 20, 2020
Post category:blog / Graph Databases / Healthcare

Quick Shoutout to Simon Sinek on his Golden Circle of WHY, HOW, WHAT. To learn more on that framework check Simon out on his website https://simonsinek.com/about/ Starting with the…

Data Lakes will Yield More Business Value when Combined with Graph Databases

Post author:David Schexnayder
Post published:May 7, 2020
Post category:blog / Business / Graph Databases

Although traditional data warehouse environments have been around for years now, scalability and performance have become a challenge in the face of a big data deluge. This is where data…

Implementing a 24-Join SQL Query in a Graph Database

Post author:Guest Blogger
Post published:April 14, 2020
Post category:blog / blogs / Developers / Graph Databases

Many people are unaware that some difficult-to-write and inefficient-to-execute SQL queries can be easily expressed and efficiently executed in a graph database. This is true even for some people who…

Using A Graph Database for Big Data Entity Resolution

Post author:Changran Liu
Post published:April 7, 2020
Post category:blog / Entity Resolution / Graph Databases

We’re Being Deluged By Data According to market intelligence company IDC, the “Global Datasphere” in 2018 reached 18 zettabytes. (Yes, that zettabytes!) And the problem is only going to get…

Working with TigerGraph REST API and CORS (Cross Origin Resource Sharing)

Post author:Abhishek Mehta
Post published:March 11, 2020
Post category:blog / blogs / Developers / Graph Databases

Every web browser follows the “Same-Origin Policy” to maintain system security, and reduce the possibilities of attack by malicious web scripts. Under the same-origin policy, a web page can only…

Neo4j 4.0 Fabric – A Look Behind the Curtain

Post author:TigerGraph
Post published:February 7, 2020
Post category:About TigerGraph / blog / blogs / Graph Databases

This week, Neo4j announced version 4.0, featuring their Fabric database, advertised as offering "unlimited scalability." They go on to describe it as "Sharding and federation: Neo4j 4.0 now allows for…

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