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

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LAS VEGAS, Dec. 03, 2019 (GLOBE NEWSWIRE) -- , the only scalable graph database for the enterprise, today announced new functionality and performance for 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.

“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,” said Todd Blaschka, COO, TigerGraph. “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.” 

TigerGraph Cloud allows users to get started in minutes, build a proof-of-concept model in hours and deploy a solution to production in days. It eliminates the need to set up, configure or manage servers, schedule backups or look for security vulnerabilities. Also, TigerGraph offers a free tier of TigerGraph Cloud in perpetuity that enables data scientists, developers, business analysts, students and other enthusiasts to experience this technology’s unique power to handle real-world data challenges.

The latest version of TigerGraph Cloud includes configuration for distributed graphs and replica instances for high availability, as well as the ability to leverage EFS for backup and restore. In addition to elastic, pay-only-for-what-you-use pricing, benefits include:

Going into 2020, Microsoft Azure will soon be one of the backend options for users of TigerGraph Cloud, making it the first truly cloud neutral graph database-as-a-service in the market.

“Our customers expect a rapid, friction-free onboarding experience and we are committed to providing it to them,” said Martynas Sukys, product owner at Pagantis. “TigerGraph’s latest performance and usability enhancements will help us maintain our competitive advantage and outperform in a crowded marketplace.”

Jack Xie, head of data at , said, “We have been using TigerGraph for several years now at Wish. TigerGraph's speed, scalability, and graph model have enabled many applications for us that we previously thought were overly challenging.”

“We tapped the power of TigerGraph graph database via AWS to advance and personalize the customer experience and boost customer loyalty,” said Gabriele Corti, chief product officer at Kickdynamic. “We tried other solutions, but only TigerGraph offers both performance and the real-time analytics we need to stay one step ahead of the customer experience curve; we learn more about our customers, faster, so that we can individualize and optimize their experiences.”

More news and information about TigerGraph, Inc.

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Globe Newswire: 14:00 GMT Tuesday 3rd December 2019

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