Primary Data Updates DataSphereData flow automation, performance improvements, new scale-out NAS support and cloud integration
This is a Press Release edited by StorageNewsletter.com on 2017.03.10
Primary Data Inc. announced new features that transform its DataSphere software platform into a metadata engine that automates the flow of data to help enterprises meet evolving application demands at petabyte scale.
DataSphere 1.2 optimizes scale-out NAS for performance without bottlenecks, integrates easily with the cloud, automates data management, and provides client and file visibility with billions of files hosted across different storage systems.
"With DataSphere, customers are able to cut overprovisioning costs by up to 50%, and those savings easily run into the millions when you are managing petabytes of data," said Lance Smith, Primary Data CEO. "In today's 1.2 release, DataSphere has taken another step forward, automating the management of over a billion files as an enterprise metadata engine. With DataSphere, enterprises can significantly accelerate performance, overcome vendor lock-in, and easily leverage the cloud to maximize both savings and efficiency."
New features in DataSphere 1.2 include:
- Automated management of billions of files enables enterprises to serve and manage data at petabyte scale
- Supercharge scale-out NAS performance for unstructured data and other NAS workloads with vendor-agnostic support for Dell EMC Isilon and NetApp ONTAP solutions
- Scale your cloud in parallel with direct interfaces for Amazon S3 and compatible cloud platforms; scale cloud uploads and downloads linearly while protecting namespace for application data access
- Offloaded cloning directly from clients preserves application performance and optimizes capacity usage
- Visibility into file and client performance with hot file visibility; real-time performance graphs across different storage resources visible on user dashboard
- Non-disruptive H/A failover and volume retrieval ensures rapid recovery without impact to ongoing I/O processing
- Faster performance with improved metadata algorithm intelligence and resource usage while continuing to maintain client I/O even while data is in flight
- Expanded support for Linux, Mac and Windows environments including Linux, macOS, and SMB support for Windows Server 2008/Windows 7 and later
"Automating the flow of enterprise data with a metadata engine like DataSphere is essential now that we create so much data every day," said Steve Wozniak, Primary Data chief scientist. "Some data is hot and valuable, while other data quickly gets cold and needs to be kept somewhere that will keep costs low. DataSphere automatically makes sure the storage you have is always serving the right data, and makes it easy to add new resources like the cloud, even when you are managing billions of files. Simplicity like this isn’t easy to achieve, but once you find a better way, you wonder what you used to do without it."
DataSphere enables enterprises to place the right data on the right storage at the right time across enterprise infrastructure and the cloud to automatically meet evolving application demands without interruption. The DataSphere software platform virtualizes data by splitting the control path from the data path, separating data from the underlying storage so that it can be managed independently of hardware.
By creating a global namespace that spans cloud, shared and local storage, DataSphere helps enterprises overcome performance bottlenecks without buying new hardware. Its powerful policy engine flows data to the ideal storage resource to automatically meet performance, price and protection requirements. In addition, it can monitor and move cold data to lower cost tiers like the cloud while maintaining accessibility. Moving files to fast flash resources accelerates performance and optimizes existing storage investments without disrupting applications.