In a recent article on www.venturebeat.com Blair Hanley Frank takes a look at what is described as Oracle’s Latest Jab at AWS.
In the article, Frank looks at how an expansion of the flexible Cloud options for SaaS customers is being expanded to PaaS customers; adding greater flexibility and the chance to make significant savings over an AWS-based alternative.
As an Oracle partner, we are pleased to see Oracle being flexible and providing more options for users which, of course, include JD Edwards customers.
Oracle’s customers will be able to bring their own licenses to its cloud platform services. Larry Ellison, the company’s founder and CTO, said that customers who already pay for licenses to applications like Oracle Database, Middleware and Analytics will be able to get a discount on the cost of running that software in the cloud.
Those discounts will apply to Oracle’s Platform-as-a-Service tier, which is designed to remove some of the complexity of running an application through cloud hosting and automation.
Oracle previously offered customers the ability to bring their licenses to its cloud infrastructure, but this is the first time that same benefit has applied to PaaS.
In addition to the licensing news, customers can also agree to pay Oracle a fixed amount per year or per month, then apply the resulting credits to any of the company’s cloud services. For example, customers could commit to spending $2 million a year on Oracle Cloud, and then receive discounts based on the size of that commitment.
The resulting Universal Credits from that commitment can be used to pay for any of Oracle’s cloud services, so customers can shift their spending from IaaS to PaaS and back again or apply credits to new services that weren’t announced when customers initially committed.
On top of the pricing changes, Ellison also touched on a new database service the company will be discussing at its OpenWorld conference next month. He promised that the service would provide a 50 percent or greater savings over running the same Oracle Database workloads on AWS.
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