TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance

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A recent press release states, “TigerGraph, the only scalable graph database for the enterprise, today announced new functionality and performance for TigerGraph Cloud. TigerGraph Cloud, the industry’s first and only distributed native graph database-as-a-service, is the most intuitive way to build and run applications that work with highly connected and complex datasets. TigerGraph’s latest distributed system and high availability enhancements help enterprises leverage advanced analytics on graph at scale, which requires larger and more varied dataset combinations, which means more variables and relationships to analyze, explore and test to make machine learning (ML) and artificial intelligence (AI) better.”

Todd Blaschka, COO at TigerGraph, commented, “To survive and thrive in today’s business world, enterprises should accelerate their approach to AI and ML applications, both of which benefit from graph analytics, as this helps identify new patterns across the data sources, create new models and better algorithms, using data at scale… TigerGraph Cloud’s enhanced services provide our customers with an even better platform for analytical and transactional processing. Users can start for free and expand to a distributed production system as their applications scale. Starting a distributed graph system with high availability is simply choosing the number of machines and the number of replicas on TigerGraph Cloud.” 

Read more at Globe Newswire.

Image used under license from Shutterstock.com

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