Trillion edges benchmark: new world record beyond 100TB by TigerGraph featuring AMD based Amazon EC2 instances
Graph databases have become increasingly popular in recent years, as they are uniquely suited to handle complex, interconnected data. As data sets continue to grow, scaling up graph databases to…
Transaction Surveillance with Maximum Flow Algorithm
In the banking, payment platforms, and cryptocurrency industries, graph analytic approaches such as PageRank, Label Propagation, and Cycle Detection have proven to be valuable for tracking abnormal transaction patterns, conducting…
Why Experts See Graph Databases Headed for Mainstream Use
Written by Chris Preimesberger, originally featured in eWeek July 5, 2019 Graph databases are now clearly riding the upward trend toward mainstream adoption for which the sector has been waiting…
Graph-Based Customer Entity Resolution
1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their products, their employees, etc. The…