Graph Database Leader Extends Reach to AWS Users; Launches Only Pay-As-You-Go Graph Offering for Enterprises on the Market Today
TigerGraph, the only scalable graph database for the enterprise, is accelerating its cloud strategy with the availability of its platform as a pay-as-you-go offering on Amazon Web Services (AWS). This move broadens the company’s global reach by providing AWS users with instant access to the world’s fastest and most scalable graph database.
TigerGraph also announced it has now achieved Advanced Partner Status in the AWS Partner Network (APN). To obtain this status, TigerGraph’s platform passed AWS’ stringent technical certification process. In addition, TigerGraph had to validate its expertise through a wide range of enterprise references that demonstrated strong customer value. TigerGraph’s customers run applications in AWS for some of the largest brands in the world across financial services, healthcare, and retail.
With the launch of the pay-as-you-go offering, customers will be able to enjoy a friction-free experience for using TigerGraph’s fast and powerful graph database, without cumbersome acquisition and deployment processes. AWS users can now get an Amazon Machine Image (AMI), which includes the TigerGraph DB and GraphStudio SDK. TigerGraph’s launch in the AWS Marketplace provides an easy-to-use and powerful cloud-based solution with fast deployment and pay-as-you-go pricing.
“Graph analytics are essential for solving today’s most complex business challenges and for making data-driven decisions. We are bringing to market an easy and affordable way for users to tap into the value of graph, via the cloud,” said Dr. Yu Xu, CEO and founder of TigerGraph. “Achieving Advanced Partner Status in the AWS Partner Network is yet more proof that TigerGraph on the cloud is delivering exceptional time to value for its customers and partners, and providing a pay-as-you-go model on AWS helps put the power of the graph into broadest possible adoption, regardless of whether it’s for a fraud detection use case or recommendation engine, AI or Machine Learning.”
“Building on incredible customer traction, continued enthusiasm, and broad adoption across vertical markets including financial services, healthcare, retail and technology, data scientists, architects, and developers now have access to TigerGraph in a single-click pay-as-you-go format,” he added. “Today’s news means the world’s only scalable graph database is available to the entire Amazon ecosystem.”
One of the key benefits of using the new TigerGraph AMI on AWS is the ease of getting started on the highly performant and scalable platform without having to manage underlying infrastructure. The platform makes it possible for anyone to quickly load data, select a graph algorithm from TigerGraph’s library and explore graph analytics within minutes. With TigerGraph’s speed and performance, users have the ability to go 10 or more levels of connection deep into their data and to compute and reveal insights based on multi-dimensional criteria in real time.
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In addition, with TigerGraph’s highly efficient data compression, users gain both higher performance and better cost efficiency. In a recent benchmark, TigerGraph proved to be up to 13X more efficient on data storage, which translates into strong TCO economics.
Jack Xie, head of data at Wish 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.”
TigerGraph recently introduced its upcoming release, which combines graph pattern matching with real-time deep link analytics — a unique mix ideal for fraud and money laundering detection, security analytics, personalized recommendation engines, AI and machine learning. The company also announced that AWS users will be able to import their S3 data natively in GraphStudio, significantly improving the efficiency of the AWS cloud business user.
Helpful Links
- TigerGraph Cloud
- TigerGraph Developer Edition & Free Trial
- TigerGraph Website
- TigerGraph Blog
- TigerGraph on Twitter
- TigerGraph on LinkedIn
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