TigerGraph, the fast graph analytics platform for the enterprise, introduced TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. Users can easily 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.
Graph database algorithms have been long used by organizations like Facebook, Google, Alibaba and LinkedIn to build businesses worth trillions of dollars. With Graph, users are able to find patterns, connections and gain new business insight from their data. This connected and transferable knowledge is what drives innovations in AI and Machine Learning.
As the market continues to rapidly adopt graph for AI and Machine Learning applications, organizations are finding that performance and scalability are critical to keeping up with market innovators,” said Yu Xu, founder and CEO, TigerGraph. “TigerGraph Cloud addresses these needs, and enables anyone and everyone to take advantage of scalable graph analytics without cloud vendor lock-in. Organizations can tap into graph analytics to power explainable AI – AI whose actions can be easily understood by humans – a must-have in regulated industries. TigerGraph Cloud further provides users with access to our robust graph algorithm library to support PageRank, Community Detection and other queries for massive business advantage.”
TigerGraph Cloud provides data scientists, business analysts and developers with the ideal cloud-based service for applying SQL-like queries for faster and deeper insights into data. It also enables organizations to tap into the power of graph analytics in hours. The new 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.
- 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.
As graphs become more and more mainstream, an increasing number of organizations are adopting graph databases to understand and leverage their ever growing volumes of connected data,” said Philip Howard, research director, Bloor Research. “What is interesting about TigerGraph Cloud is not just that it provides scalable graph analytics, but that it does so without cloud vendor lock-in, enabling companies to start immediately on their graph analytics journey.”
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 for you.
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