DataSphere Meets Top Enterprise Storage System Needs Defined by IDC

DataSphere Meets Top Enterprise Storage System Needs Defined by IDC

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IDC recently released its Worldwide Enterprise Storage Systems, 2017 Market Analysis report. The Buyer Perspective section of this report shares the results of a survey on enterprises’ top initiatives and biggest challenges.

The issues topping the list included disaster recovery & backup, simplifying storage upgrades and the adoption of new solutions, as well as automating the enterprise. We’re not surprised to see so many IT professionals facing so many issues today, as the complexity created by decades of storage silos is the common denominator at the root of all these problems.

As an open platform designed to simplify data management across different storage resources, DataSphere can make it easy for customers to achieve these initiatives and overcome many of these common challenges. Let’s take a closer look at how.

Achieve Your IT Project Plans with Ease

Enhance Your Disaster Recovery (DR) and Backup

DR and Backup ranks second among IT pros’ top initiatives in the IDC report. DataSphere enhances and integrates with backup and DR solutions. For example, many companies augment their traditional backup and recovery strategies with array-based snapshots as a convenient shortcut to continuous backups or to restore an entire dataset to a previous point-in-time. To ensure data is kept safe, retaining a series of snapshots over time requires companies to purchase additional capacity. Over time, this either gets very expensive, or IT ends up prematurely deleting older snapshots to reclaim capacity on production systems.

DataSphere enables customers to automate the movement of backups and snapshots to another location, including the cloud, for disaster recovery and restoration of deleted or modified files. This improves DR, while reducing costs. For example, companies can take snaps more frequently and generate longer snapshot chains, at much lower costs, by moving aging snapshot data into the cloud.

Restoring data is seamless, as snapshot management software maintains access to the files, even in the cloud. When snapshot management software needs to restore a file, DataSphere will transparently move the snap data back to the production environment, so recovery completes entirely automatically. Admins can also copy snap data to multiple clouds, improving disaster recovery and snap availability at a far lower cost than making multiple copies to on-premises storage.

To see how DataSphere manages snapshots, watch this two-minute demonstration video for snapshot and restore using NetApp.

Automate Storage Upgrades and Refreshes without Downtime

IT professionals ranked storage modernization/refresh third among their top initiatives. DataSphere can move data seamlessly between storage systems, without disrupting applications, putting the fun back in your new storage upgrades, while dramatically reducing the time and cost of getting your new gear up and running.

The DataSphere Data Assimilation feature enables existing data to be “imported” into DataSphere’s global namespace quickly. DataSphere only needs to assimilate metadata, which includes information about the location of data on storage, and even the metadata assimilation runs as a background process. With DataSphere, migration times are reduced to just minutes. Once DataSphere has migrated data off your old hardware, you can decommission it from DataSphere or even have DataSphere continue to use it as lower tier storage, extending its useful life. Learn more about data migrations here and view a demonstration here.

Knock Down Enterprise Storage System Obstacles

Accelerate Cloud Adoption with Seamless Integration

Many companies are shifting to a cloud-first mentality. The IDC report validates this point, as IT pros say migrating data between Public and Private Cloud IAAS and SAAS is their second biggest challenge.

DataSphere integrates your on-premises storage with the cloud, so you can put your cloud initiatives into action quickly by delivering the following capabilities:

  • Easily identify cold data. Using file metadata, DataSphere enables you to see, instantly, which data is cold, and therefore a good candidate for cloud archival
  • Automate seamless data archival. DataSphere enables you to move data to one or multiple clouds, according to objectives. For example, you can apply an objective policy to a share that tells DataSphere to automatically archive any data that has not been accessed within a given time period to the cloud. DataSphere supports the ability to specify the cloud/object stores to use, so if you have data that must remain on-site for regulatory compliance, you can create objectives that archive data to a low-cost filer or on-site object storage. All movement is performed with an awareness of application activity on the storage device to avoid impacting service levels. This eliminates the need to perform migrations during “off hours.”
  • Keep archived data accessible. DataSphere makes even cloud archival an “active archive,” since data gets stored as files that can automatically be retrieved should applications need them again. The ability to keep data accessible as files minimizes cloud bandwidth charges, since DataSphere retrieve just the files applications need. It also means that enterprises don’t have to modify applications to use object data.
  • Automate backups and snapshots to the cloud. As mentioned in the DR and Backup section, DataSphere enables you to take snapshots more frequently while containing costs by moving older snaps to the cloud.

Initial Provisioning, and Beyond

IT pros rank implementing storage for new workloads/applications third on their list of biggest challenges. Figuring out which storage can meet the needs of an app over its life time can be an arcane art. DataSphere enables IT to focus on what data needs instead of what a specific storage system can deliver. With DataSphere, IT can assign data performance, protection, and price objectives. DataSphere will automatically provision data to the ideal storage to meet those objectives. DataSphere also automates ongoing maintenance. For example, if application workloads unexpectedly surge, DataSphere will automatically rebalance data to storage that can handle the workload.

Automating the Enterprise

The IDC report notes that 27% of IT shops plan to implement Automation Tools within the next 12 months. Most of these tools are point solutions designed to automate specific tasks. DataSphere automates the flow of data across all storage in its global namespace, enabling IT to automate any workflow that requires moving or copying data, without disrupting applications. Importantly, it enables IT to manage these workflows without the need for manual scripting or symlinks, which can result in silent data loss or corruption.

Want to learn more about how DataSphere can help you tackle this year’s initiatives and overcome your biggest challenges? Connect with us at to schedule a meeting or demo.

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