Storage Consolidation Research & News Overview

About Storage Consolidation

Storage consolidation centralizes data storage among multiple servers into a single device or on a single network (e.g. SAN). The objective is to facilitate data backup and archiving for all subscribers in an enterprise, while minimizing the time required to access and store data. Other desirable features include simplification of the storage infrastructure, centralized and efficient management, optimized resource utilization, and low operating cost.

Storage Consolidation Research From TechValidate

Covered Products & Services

3PAR Utility Storage

3PAR Utility Storage is a highly virtualized, tightly clustered, and dynamically tiered storage platform built for utility computing.

Hitachi Universal Storage Platform V or VM

Hitachi Universal Storage Platform V is an enterprise class storage system featuring virtualization, thin provisioning and business continuity services across storage assets from Hitachi Data Systems and other providers.

Hitachi Content Platform

Hitachi Content Platform is an active archive for the long-term preservation, optimization and discovery of business critical digital unstructured content

Powerfile Active Archive Appliance

Powerfile Active Archive Appliance delivers an optimized long-term storage platform in terms of density, performance, and energy efficiency.

Pillar Axiom

Pillar Axiom consolidates multiple platforms, applications, and tiers of data on one storage platform, and delivers the appropriate performance to each from a single management GUI.

NetApp Fabric Attached Storage (FAS)

NetApp’s Fabric-Attached Storage (FAS) supports any mix of storage area network (SAN), network-attached storage (NAS) and Internet protocol SAN (IP SAN) environments concurrently.

Compellent Storage Center

Compellent’s Storage Center is an enterprise class storage area network (SAN) that intelligently optimizes data movement and access at the block-level, maximizing utilization, automating tiered storage, simplifying replication and speeding data

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