At the VMworld 2016 U.S. conference next week, Primary Data is introducing its new DataSphere data orchestration platform to automate IT storage services and ensure applications meet business objectives by uniting enterprises’ different storage resources across flash, object/cloud, SAN, and NAS systems for the first time. Through data virtualization, the Primary Data DataSphere platform transparently connects storage infrastructure from any vendor, media or protocol under a single, global dataspace, allowing data to easily move between server, shared and cloud storage without application interruption.
“Storage diversity across flash, cloud, hyper-converged, and traditional systems give enterprises the right storage tool for any job, but until now, data has been trapped in the typical storage silos, forcing IT to overprovision and limit the value of billions of dollars of enterprises storage investments,” said Lance Smith, Primary Data CEO. “DataSphere automatically orchestrates the right data to the right place at the right time according to IT-defined objectives, without business or application disruption. This industry first can easily cut customers’ storage costs in half by finally aligning data to the ideal storage system according to business needs.”
DataSphere unites heterogeneous storage resources across file, block and object protocols by separating the data path from the control path through data virtualization. The uniquely storage-agnostic DataSphere architecture gives customers the flexibility to easily add new storage resources to their infrastructure. By connecting storage resources across a global dataspace, DataSphere significantly increases utilization of existing storage to reduce overprovisioning and save budget.
DataSphere sets a new standard for enterprise agility with storage policies down to file-level granularity. Application admins are now able to select easy-to-use storage policies on a per application basis and continually validate if the storage is delivering according to the defined policy. DataSphere automatically aligns application I/O with available storage resources to meet the application owner’s business needs. In addition, Smart Objectives, a unique feature of DataSphere, enables IT to manage the data lifecycle without any impact to application data availability and performance. Data is load balanced across all available resources in real-time to ensure business requirements are continually met by the infrastructure, minimizing overprovisioning and the cost of maintaining individual storage silos for each application.
The DataSphere platform delivers numerous benefits to enterprises, including the ability to:
- Simplify management by converging data using automated orchestration across all storage
- Reduce costs of overprovisioning up to 50% by increasing storage utilization
- Respond instantly to new and changing application needs
- Increase application uptime during migrations and upgrades
- Gain agility and customer choice by enabling scale out storage with any vendors
In addition to delivering unprecedented automation and optimization across storage systems, DataSphere enables enterprises to maintain service level agreements (SLAs), automate data lifecycle management, expand scale out storage to more workloads, and add VMware Virtual Volumes for VM-aware storage using existing storage resources. Primary Data features detailed solution briefs for these and other use cases on its website.
DataSphere utilizes next-generation storage analytics and efficiency through a number of features that automate data orchestration across enterprise storage systems. These include:
- Data Awareness offers insight into applications’ storage usage and requirements, as well as storage utilization across systems connected to DataSphere
- Storage Awareness provides visibility into storage system capabilities to ensure the appropriate storage type is paired to meet application needs
- Dynamic Data Orchestration places data according to data objectives and storage resource availability for optimal data placement
- Non-Disruptive Data Mobility automatically realigns data placement as business needs change, to ensure service levels are met, without application disruption or any impact to performance
- Unified Storage Management simplifies administration of storage capacity across separate systems by delivering a single virtual pool of aggregated storage managed in DataSphere
IT industry analyst firm Gartner has taken note of how data virtualization software can introduce new operational efficiencies beyond traditional architectures, and recently reported that new computing styles and approaches will complement server virtualization.
“As an increasingly important part of a comprehensive data integration strategy, data virtualization is attracting renewed interest as organizations recognize its potential for a growing range of use cases*,” according to Gartner. “Data silos slow organizations’ transformation into digital business by limiting information discovery and access. Data virtualization offers information leaders a mitigation strategy that can lead to new analytical and operational opportunities. Through 2020, 35% of enterprises will implement some form of data virtualization.**”
*Gartner, Market Guide for Data Virtualization, Ehtisham Zaidi, Mark A. Beyer, Shubhangi Vashisth, 25 July 2016
**Gartner, Use Data Virtualization to Help Resolve Data Silos, Mark A. Beyer, Eric Thoo, Nick Heudecker, 20 May 2016