SAP HANA was launched and first certified on AWS in 2013, and since that time a large and still fast growing number of customers have deployed SAP HANA on the AWS Cloud. Initially, first-time users were running non-production, test and dev or QA workloads on cr1.8xlarge or r3.8xlarge with 244 GB of RAM. Increasingly, production setups involving HA/DR with high support and SLA requirements are becoming popular. Of course, production workloads are always the most demanding and where we see an increase in SAP’s deployment figures. AWS has demonstrated their capability to support our mutual customers in this evolution with a series of nice SAP BW-EML and SD Benchmarks which can be found here.

Customers are also doing added value scenarios with SAP HANA on AWS including SAP HANA + SAP Vora + Hadoop on AWS, R integrated with SAP HANA, and even HCP integrations with AWS.

The more customers are using all these innovations, the higher the demand for growing SAP HANA node sizes. As already announced by AWS, they’ve taken the decision to offer X1 instances, featuring the x1.32xlarge with 2 TB of RAM, based on a 4-socket Intel E7-8880 v3 CPU. X1 instances have now been certified for SAP HANA OLAP and OLTP workloads in single node deployments. Respective SAP Benchmark results are soon to be published. With the latest SAP HANA core-to-memory ratio on SAP HANA SPS11 or later and on Haswell, this enables full usage of the the RAM offered on X1 for both, BWoH / OLAP and SoH / OLTP. This is surely a big leap for SAP HANA Cloud deployments, especially for S/4HANA implementations.

There is a roadmap ahead after SAPPHIRE 2016 for additional capabilities such as scale-out deployments on X1, that will further boost SAP HANA adoption as the most innovative and powerful in-memory data platform. To learn more about X1, visit Amazon EC2 X1 Instances.  To learn more about SAP HANA on AWS, please visit SAP HANA on the AWS Cloud.

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