Compare IBM PowerHA System Mirror vs. Windows Server Failover Clustering

IBM PowerHA System Mirror is ranked 5th in High Availability Clustering while Windows Server Failover Clustering is ranked 1st in High Availability Clustering with 1 review. IBM PowerHA System Mirror is rated 0, while Windows Server Failover Clustering is rated 9.0. On the other hand, the top reviewer of Windows Server Failover Clustering writes "Easily create clusters supporting geo-redundancy, improves business continuity". IBM PowerHA System Mirror is most compared with Veritas InfoScale Availability, HPE Serviceguard and Windows Server Failover Clustering, whereas Windows Server Failover Clustering is most compared with Veritas InfoScale Availability, DRBD and HPE Serviceguard.
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Also Known As
PowerHA System Mirror
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Overview
IBM PowerHA technology provides high availability, business continuity and disaster recovery. It enables you to deploy an HA solution that addresses both storage and high availability requirements with one integrated configuration, which offers robust performance along with a simplified user interface. Power Systems is committed to investing in - and bringing to market - solutions designed to keep your IT environments resilient. IBM engineers work continuously to optimize IBM Power Systems hardware and operating systems to keep pace with the increasing demand for 24x365 availability.Windows Server Failover Clustering provides infrastructure features that support the high-availability and disaster recovery scenarios of hosted server applications such as Microsoft SQL Server and Microsoft Exchange. If a cluster node or service fails, the services that were hosted on that node can be automatically or manually transferred to another available node in a process known as failover.
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Sample Customers
Royal Arctic Line, Wªrth Group, Balluff, Al Mansour Holding Company, Baptist Health of Northeast Florida, Robert Wood Johnson University Hospital, Fashion Institute of Design & Merchandising, SAIC FIAT Powertrain Hongyan, VishayKarl-Franzens-Universit_t Graz, NAV CANADA, Magnachip, ólectricit_ de France, Cambridgeshire Constabulary, Bank Alfalah Ltd., Local Government Association of Queensland
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