LOS ALTOS, Calif., Sept. 06, 2017 (GLOBE NEWSWIRE) -- Primary Data, creator of the world’s first enterprise metadata engine, today announced that it has been listed in the 2017 “Market Guide for Data Virtualization,” recently published by Gartner. Primary Data’s DataSphere software virtualizes data by separating an application’s logical view of its data from where it is physically stored, making it possible to finally break down storage silos and intelligently manage data across enterprise infrastructure and into the cloud.
“Familiar data integration patterns centered on physical data movement alone are no longer a sufficient solution for enabling a digital business,” said Ehtisham Zaidi, Mark A. Beyer, and Ankush Jain, Gartner Research Analysts. “Organizations are expanding their use of data virtualization beyond ‘limited’ development/test type deployments and are now using it as a real option for data integration for enterprise-class products. Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.”
To overcome the storage sprawl and vendor lock-in that adds to enterprise complexity and costs today, Gartner recommends that IT leaders focus on data management and “Create a data exploration capability via data virtualization to identify data silos that are candidates for consolidation, and select a data virtualization tool (using this research) that addresses common challenges including data volume, query complexity and network capacity.”
By 2018, Gartner estimates that organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets. With cloud adoption on the rise, enterprises need to ensure that adding cloud resources does not create a new island of storage that is disconnected from the rest of the enterprise’s infrastructure.
“DataSphere was built to simplify data management by decoupling the rigid relationship between storage and applications,” said David Flynn, Primary Data Chief Technology Officer and Co-Founder. “We are pleased to see Gartner recognizing metadata management in the 2017 Market Guide for Data Virtualization. We believe metadata intelligence is critical to leveraging the power of data virtualization to automate data management across the enterprise and into the cloud.”
By abstracting the view of data from underlying hardware, DataSphere enables heterogeneous storage resources to be available across a global namespace, while giving applications access to data. As storage is added to DataSphere, each resource is classified and pooled according to its performance, price and protection attributes. DataSphere monitors and analyzes application metadata telemetry to determine if data is hot, cooling, or cold. With this intelligence, DataSphere transparently places data on the ideal storage resource to meet IT-defined Objectives for applications and data. DataSphere uses machine learning capabilities to detect patterns (such as when data becomes hot at the end of each quarter or year) and automatically ensure the right data is in the right place at the right time.
The out-of-band DataSphere architecture offloads storage device metadata management from application I/O requests to deliver the performance and scalability required as enterprise data scales into petabytes. DataSphere can leverage parallel accesses with the latest optimizations of the standard NFS v4.2 protocol to significantly speed up both metadata and small file operations by requiring less than half of the protocol-specific round-trip network traffic compared to NFS v3.
Echoing Gartner’s savings expectations of up to 40% with data virtualization, enterprises adopting DataSphere estimate significant savings through the efficiency improvements gained by overcoming storage silos and automatically aligning data to the ideal resource to meet current business needs. IT professionals can quickly estimate their savings using the Primary Data TCO calculator. Primary Data offers an enterprise subscription option for DataSphere and another for smaller Lines of Business (LoB) serving remote or branch offices (ROBO).
To discover how data virtualization solves enterprise data management challenges, visit PrimaryData.com or email deepdive@primarydata.com to arrange a meeting and learn how data virtualization delivers machine learning for intelligent data management.
About Primary Data
Primary Data develops intelligence and automation software for enterprise data management across on-premises IT infrastructure and into the cloud. Its DataSphere platform combines metadata management and machine learning to move the right data to the right place at the right time across a global namespace, automatically and without application disruption. DataSphere makes heterogeneous data stores simultaneously available to all applications, enabling enterprises operating at petabyte scale to easily manage billions of files, automate data migration, integrate the cloud, and scale out NAS performance while getting the most value out of infrastructure investments on a per-client, per-file basis. To learn more, visit us at PrimaryData.com, follow us on Facebook.com/PdDataSphere, or Twitter at @Primary_Data.
Gartner, Market Guide for Data Virtualization, 07 August 2017
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