TigerGraph Cloud – The Scalable Distributed Graph DBaaS Supports Microsoft Azure
When we developed TigerGraph, the scalable graph database as a service for agile teams who’d rather be building innovative applications to deliver new insights than managing databases, we made sure it would be cloud agnostic. That’s why we’re excited to announce we’ve launched Microsoft Azure as another choice that our users can select for the backend of their TigerGraph Cloud service.
You can choose from two Azure regions: West US (California, US West) and West Europe (Amsterdam, Netherlands). Five different instance types are supported in each region, ranging from 8 vCPUs with 16 GiB RAM, to 32 vCPUs with 256 GiB RAM. We’ve kept the pricing for instances, storage, and backup on a par with our AWS pricing, so it’s up to you. Cloud agnostic. For more on pricing, see www.tigergraph.com/tigergraph-cloud-pricing/.
How Do I Get Started?
Provisioning a TigerGraph solution running on Azure is easy. Just follow the simple steps here:
TigerGraph is a cloud neutral graph database and analytics platform. Stay tuned for more announcements on TigerGraph Cloud regarding the upgrade to TigerGraph 3.0, and the upcoming support for the Google Cloud Platform (GCP).
Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems
Todd Blaschka |COO
Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.