Red Hat, a leading provider of open source solutions, has announced that Red Hat Virtualization now supports the SAP HANA platform, a market-leading in-memory data and application development platform for running big data workloads.
Red Hat is now able to offer an operating system (Red Hat Enterprise Linux for SAP HANA) and hypervisor that are both validated for use with SAP HANA environments, providing a level of open standardisation to organisations seeking greater choice of virtualised solutions, operational efficiencies and cost reductions in their datacentres.
A scalable, flexible, Kernel-based Virtual Machine (KVM) powered virtualisation solution, Red Hat Virtualization provides an open, easy to use, and more secure virtualisation platform that can handle diverse workloads, like those posed by big data applications and analysis, without extensive modifications or custom hardware.
By now supporting SAP HANA deployments, Red Hat Virtualization helps customers consolidate physical hardware to reduce IT expenses without losing operating capacity or functionality. Additionally, Red Hat Virtualization forms a solid foundation for innovative technologies, like Linux containers and cloud computing, while remaining easy to integrate with existing IT investments.
Because Red Hat Virtualization forms the basis for many of Red Hat’s next-generation computing technologies, this capability further enables customers to standardise on the Red Hat portfolio for their SAP HANA deployments. This can help to extend the flexibility of customer big data operations and provide more options when it comes to scaling to address extreme computing tasks.
Gunnar Hellekson, senior director, Product Management, Platforms Business Unit, Red Hat, said: “Red Hat is committed to delivering customer choice at all levels of the technology stack, from foundational technologies like the operating system and hypervisor to next-generation solutions built on Linux containers and OpenStack. Red Hat Virtualization for SAP HANA demonstrates this commitment by providing a scalable, flexible and open platform upon which to run big data workloads and associated applications without the need for proprietary software lock-in or custom hardware.”
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