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TigerGraph Cloud Now Supports Microsoft Azure


TigerGraph has launched TigerGraph Cloud on Microsoft Azure in addition to AWS. The distributed native graph database-as-a-service helps enterprises harness the power of the graph, enabling organizations to build and run applications that work with highly connected and complex datasets.

The companyalso recently introduced TigerGraph 3.0 which delivers the advantages of scalable graph database and analytics to more people, including non-technical users. According to TigerGraph, businesses are asking more complex questions across structured and unstructured data, which often requires blending data from multiple sources, business units and external data.

“TigerGraph Cloud continues to answer specific enterprise pain points for organizations in several industries, including healthcare, financial services and government. Relational databases aren’t up to the task when it comes to analyzing interconnected data,” said Todd Blaschka, COO, TigerGraph. “Graph database and analytics is the way forward. Historically, organizations had to rely on data scientists to design their graph analytics solutions. That has changed with TigerGraph Cloud, which makes graph accessible to all. And now, TigerGraph Cloud’s support for Azure makes it the first truly multi-cloud graph database-as-a-service in the market.”

TigerGraph Cloud, a cloud-based graph service, provides a cloud-based service to model, search, and traverse relationships for analytical, transactional and real-time workloads, eliminating the need to set up, configure or manage servers, schedule backups or look for security vulnerabilities. TigerGraph Cloud allows users to scale their graph solution up to tens of terabytes and support more than 100,000 real-time deep link analytics queries per second on a single machine.

The newest version of TigerGraph Cloud includes configuration for distributed graphs and replica instances for high availability. Subscribers can provision distributed TigerGraph services for large production datasets, and have the choice to deploy high availability TigerGraph services. TigerGraph Cloud runs on the new TigerGraph Enterprise 2.5 platform, which features a Spark connector, pattern matching, and more built-in data processing functions. Users can start for free, then expand across the cloud as their data expands. TigerGraph’s ability to do SQL-like database computation along with ACID-compliant transactions benefits users with a lower TCO compared to other platforms.

For more information, go to www.tigergraph.com.


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