SAP’s Cloud Strategy Comes with New Pricing, Consumption Models

Customers and partners can experience SAP HANA and build applications in the cloud as PaaS

The new offerings for the Cloud Platform has three options: SAP HANA AppServices, SAP HANA DBServices, and SAP HANA Infrastructure Services. 

"Today, we are simplifying access and expanding the market reach for SAP's breakthrough SAP HANA platform," said Dr Vishal Sikka, member of the Executive Board of SAP AG, Products & Innovation. "With these steps, customers and partners can experience the power of SAP HANA and build amazing applications in any way they choose to chart new frontiers in cloud-based software without compromise."

Starts with a base price and an add-on option
New pricing options make it easily accessible to everyone starting with a base price with add-on options available as desired. Customers buy through a consumption model and can either implement end-to-end platform use cases or choose additional options as needed such as predictive analytics, spatial processing and planning.

Offers you create apps in the cloud (PaaS)
Startups, ISVs and customers can now build new data-driven applications in the cloud. This platform-as-a-service (PaaS) offers in memory-centric infrastructure, database and application services to build, extend, deploy and run applications. The Platform is available today via SAP HANA Marketplace.

SAP HANA Marketplace
The new SAP HANA Cloud Platform offerings are available for a simplified trial and purchase experience in sizes ranging from 128 GB to 1 TB of memory on SAP HANA Marketplace, an online store that lets customers learn, try, and buy applications powered by SAP HANA. SAP Fiori apps and hundreds of startups and ISVs offerings are also available on the site.

SAP Genomic Analyzer
SAP is paving the way for real-time personalized medicine with SAP Genomic Analyzer, a new application powered by SAP HANA that aims to allow researchers and clinicians to find  insights from genomics data in real time. Currently in the early adoption phase, key planned benefits include faster data processing through various stages of genomics pipeline — alignment, annotation and analysis — and immediate analysis of data in minutes rather than days.

 

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