Trillion edges benchmark: new world record beyond 100TB by TigerGraph featuring AMD based Amazon EC2 instances
Blog post from TigerGraph
Graph databases have gained popularity due to their ability to handle complex, interconnected data. TigerGraph, a leading graph database solution, has recently set a world record for handling big graph workloads in a real-world production environment on AWS using 72 R6a.48xlarge Amazon Elastic Compute Cloud (Amazon EC2) instances powered by 3rd Gen AMD EPYC CPUs. TigerGraph successfully processed complex, deep-link OLAP-style queries on a massive graph containing 217.9 billion vertices and 1.6 trillion edges. This capability to scale in graph analytics and business intelligence on graph-structured data up to hundreds of terabytes is a game-changer in the world of big data, making TigerGraph an ideal solution for enterprises seeking to analyze intricate, interrelated data on a massive scale.
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