Hitachi Data Systems Unveils Powerful Lineup of Software-Defined Infrastructure Solutions Designed for All Transactional and Analytics-Driven Workloads - Seite 2

Customers looking at smaller systems will now get access to the same virtualization technology that has existed in prior HDS high-end systems that have achieved the highest overall product and use-case specific scores within Gartner's Critical Capabilities for General-Purpose, High-End Storage Arrays¹. These proven capabilities provide a leap forward in consolidating and simplifying user environments of all sizes and allow simpler migrations, easier management and full resiliency without the complication of appliances.

Best of Breed Converged Platforms for Any Workload
The Hitachi Unified Compute Platform (UCP) portfolio has been expanded with new hyper-converged and converged infrastructure models that now cover customers' needs to rapidly and more easily support core to edge IT workloads. The latest additions to the UCP family include the hyper-converged Hitachi UCP 1000 for VMware EVO:RAIL, and the converged Hitachi UCP 2000, both use new rack servers and target small to medium or remote or branch office environments. The Hitachi UCP 6000 converged model integrates the recently launched Hitachi CB 2500 blade servers, and delivers unmatched price-performance for mission critical workloads. The UCP family, with industry leading Hitachi Unified Compute Platform Director infrastructure automation software, allows customers to drive operational efficiencies through rapid deployment and provisioning of infrastructure for managing an agile data center, prepared to change workloads to match business needs.

Creating the Active Data Lake for Big Data Analytics
The hyper-converged architecture of the new Hitachi Hyper Scale-Out Platform (HSP) provides cost-effective compute performance and on-demand capacity. Capable of ingesting massive amounts of mixed data types across a distributed, clustered architecture, the simple, automated management of HSP allows elastic data growth by using Hitachi file system technology with open source management and virtualization software. HSP is the ideal scale-out platform for Hadoop environments, allowing users to analyze data in place and eliminate the need to move large data sets to perform analytics functions for big data.