Graph + AI World:                   

Delivering Large Scale Real-time Graph Analytics with Dell Infrastructure and TigerGraph

Graph + AI World Session - Recorded September 2020
This presentation describes how we used TigerGraph’s graph analytics capability over Dell’s high performing infrastructure to resolve Customer’s performance challenges with NoSQL based real-time graph queries. The Dell team was asked by the customer to conduct a POC with the TigerGraph NoSQL platform and Dell’s PowerEdge servers over simulated patient data using an open-source tool called Synthea to execute queries similar to their nurse call support where they need sub-second response to improve customer service experience. Dell and TigerGraph worked together on this effort and picked Dell’s Power Edge servers with AMD EPYC processors and generated 10 TB patient data ingested on 8 node clusters and conducted benchmark tests using queries provided by the customer. In order to simulate a real-time query scenario, master-slave architecture was followed using Jmeter as a utility tool on the master node to send concurrent queries with up-to 25000 patients sending the traffic to the cluster concurrently. The tests exceeded customer’s expectations as they were 10x faster than what they were expecting with billions of graph edges traversed by the query within a seconds response time

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“TigerGraph is highly configurable ands can fit your specific use case. Whether you’re trying to get super fast query times or run heavy graph processing algorithms, setting the right configuration on your cluster will make all the difference.”


About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 


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