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TigerGraph Unveils Latest Cloud Platform with Starter Kits for AI and Machine Learning


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TigerGraph, a graph analytics platform for the enterprise, is introducing TigerGraph Cloud, a robust way to run scalable graph analytics in the cloud. Users can get their TigerGraph service up and running, tapping into TigerGraph’s library of customizable graph algorithms to support key use cases including AI and machine learning.

“Not only are we providing this as a service but we are providing a starter kit that a user can go in, select a particular deployment pattern, and use some of the prebuilt algorithms so they can do deeper analytics on their data much more quickly,” said Todd Blaschka, COO, TigerGraph.  

TigerGraph Cloud provides data scientists, business analysts, and developers with a cloud-based service for applying SQL-like queries for faster and deeper insights into data.

The new TigerGraph Cloud delivers:

  • TigerGraph Cloud forgoes the need to set up, configure or manage servers, schedule backups or monitoring, or look for security vulnerabilities.
  • TigerGraph has been battle-tested in major Cloud Service Providers in production systems for years. Rely on the same framework providing point-in-time recovery, powerful configuration options and stability that has been used for the most demanding TigerGraph workloads over several years.
  • Application Starter Kits - an industry first. While power users will be impressed with the speed and capabilities of the base platform, TigerGraph Cloud also offers out-of-the-box starter kits for quicker application development - for use cases such as Anti-Fraud, Anti-Money Laundering (AML), Customer 360, Enterprise Graph analytics and more. Kits include graph schemas, sample data, preloaded queries and a library of customizable graph algorithms - including PageRank, Shortest Path, Community Detection and others. TigerGraph makes it easy for organizations to tailor such algorithms for their own use cases.
  • Flexibility and elastic pricing. Users pay for exactly the hours they use and are billed on a monthly basis. Spin up a cluster for a few hours for minimal cost, or run larger, mission-critical workloads with predictable pricing. TigerGraph Cloud will be available for production on AWS, with other cloud availability forthcoming.

Moving forward the company will enhance TigerGraph Cloud’s starter kits based on customer feedback and market changes, Blaschka explained.

“These starter kits have been wildly popular with the users and developers because they’re not starting from a blank slate,” Blaschka said.

For more information about this release, visit www.tigergraph.com.


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