Graph Analytics keeps growing in popularity and possibilities

Graph Analytics

Graph Analytics keeps growing in popularity and possibilities

Graph continues to be the fastest growing segment of data management. The benefit: the ability to offer deeper insights on data and in real-time, and therefore enabling better business outcomes. A number of graph solution providers are continuing to innovate by taking their technology to the cloud. Specifically, we’re seeing enterprise-class, pay-as-you-go graph analytics solutions in the cloud based on Amazon Web Services.

Take TigerGraph for example. This company offers a scalable graph database for the enterprise, and 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 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.

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.

Author: Daniel Gutierrez

Source: Insidebigdata