DataSphere for Remote Locations and Smaller Environments

DataSphere for Remote Locations and Smaller Environments

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Primary Data is proud to be participating in Storage Field Day 13 this week in Colorado Springs. We shared a number of exciting updates and previews with the delegates, which you’ll soon be able to watch for yourself on YouTube. With the cloud on the minds of many of the companies we work with, our VP of Products Douglas Fallstrom shared more details on DataSphere for smaller environments, such as remote offices and Lines of Business, which customers are adopting for connecting existing NAS and cloud storage in smaller environments. 

DataSphere for Lines of Business provides all the benefits of our DataSphere metadata engine for edge workloads, smaller datacenters and remote locations.  This smaller-environment implementation of DataSphere integrates up to four NAS systems with one or more cloud or object storage resources, delivering the global accessibility and cost-savings benefits of the cloud without requiring IT to manage cloud storage as another storage silo. For large enterprises, DataSphere scales out to serve billions of files across numerous different storage resources within the enterprise and into the cloud.

Using metadata analytics, DataSphere for Lines of Business uses insight into data activity at the file level to move data between NAS storage and the cloud to meet business objectives automatically, without any application impact. Importantly, DataSphere ensures that data stays visible and accessible in the cloud as files, without the need to modify applications to use object storage. This enables IT to meet the need to archive data to reserve the capacity of on-premises NAS resources for active datasets.

When applications need data to be retrieved from the cloud, DataSphere automatically and transparently restores just the needed data — down to the file level — to keep bandwidth usage costs low. Integrated deduplication and compression ensure that minimal bandwidth and capacity are required when data is transferred to the cloud. An easy upgrade path makes it simple to extend an initial deployment of DataSphere to serve even more workloads in larger environments.

Building a Castle in the Cloud

Gartner predicts that 80% of data will be stored off premises by 2021, signaling continued movement away from traditional storage investments. As evidence that the trend is underway, IT professionals rank the cloud as their top 2017 storage initiative, far ahead of flash and virtualization, and that lines up exactly with the demand we’re seeing from customers.

The transition to the cloud typically starts with archival, but this shift is complicated by the difficulty of moving data from existing to new storage, in addition to identifying which datasets can be safely moved to the cloud in the first place. DataSphere gives IT the control needed to easily add the cloud to their existing infrastructure, as just another storage tier, and solves the complexity of determining what data to move in order to save budget and boost performance on premises.

With the power of the DataSphere metadata engine at its core, DataSphere makes it simple for IT to not only integrate the cloud into existing ecosystems – large or small – but also to identify and move the right data off premises – and then back again if needed in the future. To learn more about how DataSphere can help you take control over your data, drop us a line at

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