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Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone

  • Emily McAuliffe
  • November 27, 2018
  • About TigerGraph, blog, TigerGraph Cloud
  • Blog >
  • Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone

Today we are proud to introduce TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud.

As graph continues to cross the chasm, more and more organizations seek to get value from graph as quickly as possible. And as AI and Machine Learning applications become more popular, these organizations are finding performance and scalability are critical to keeping up with market innovators.

TigerGraph already offers superior performance and scalability, with the ability to load 100-200GB data per machine per hour, traverse 100M+ vertices/edges per second per machine at peak, and the ability to scale to hundreds of TB to PB data. Now TigerGraph Cloud enables anyone and everyone to take advantage of scalable graph analytics without cloud vendor lock-in.

TigerGraph Cloud offers data scientists, business analysts and developers with the ideal cloud-based service for applying SQL-like queries for faster and deeper insights into data. Organizations can tap into the power of graph analytics in hours.

Users also benefit from a range of out-of-the-box tools so they can hit the ground running with their own graph implementations. This includes access to our robust graph algorithm library to support PageRank, Community Detection and other queries for massive business advantage.

These algorithms have been long used by organizations like Facebook, Google, Alibaba and LinkedIn to build businesses worth trillions of dollars, and are available to anyone and everyone. With the ability to modify and customize these algorithms to fit your organization’s needs, TigerGraph Cloud makes it easy for users to maximize value from their business-oriented graph use cases as quickly as possible. TigerGraph Cloud delivers:

Simplicity. TigerGraph Cloud forgoes the need to set up, configure or manage servers, schedule backups or monitoring, or look for security vulnerabilities.

Robustness. 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.

Tools for success. 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 to help deliver graph analytics to everyone – for use cases such as Anti-Fraud, Anti-Money Laundering (AML), Customer 360, Enterprise Knowledge Graph 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.

Compared to TigerGraph Cloud, other graph cloud solutions are up to 116x slower on two hop queries, while TigerGraph Cloud uses up to 9x less storage. This translates into direct savings to our users. Read more in the TigerGraph benchmark report here: https://info.tigergraph.com/benchmark

Customers are invited to sign up for our limited TigerGraph Cloud preview at www.tigergraph.com/cloud.

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    Dr. Jay Yu

    Dr. Jay Yu | VP of Product and Innovation

    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.