WALTHAM, Mass. -- Incipient, Inc., a leading provider of enterprise-class storage virtualization and automated data migration software announced today the debut of its newest product family member, Incipient Automated Data Migration software. This new offering streamlines and automates the end-to-end process of data migrations for large homogeneous and heterogeneous SAN environments. Incipient software transforms today's error-prone and highly manual data migration processes into a completely automated and uniquely efficient operation.
Additionally, with the release of Incipient Automated Data Migration software, enterprise customers with legacy SANs can now migrate their data to new virtualized data centers served by Incipient's complementary storage virtualization solution, Incipient Network Storage Platform (iNSP).
Background and Inherent Risks of Performing Data Migrations Manually Traditional techniques for managing large-scale data migrations are no longer suited for today's steadily increasing and complex data center infrastructures. As the amount of data under management continues to mount, the frequency of technology refreshes, resource balancing (storage tiering) and data center moves has increased greatly. The management of data migrations poses a significant challenge for IT operations with flat to shrinking budgets and growing business demands.
Conventional approaches to performing enterprise data migrations rely heavily on manual operations and spreadsheets. These manual processes often lead to operational error, and error in the context of data migrations can be costly and result in significant application downtime. As a result the risks of performing data migrations manually can lead to a significant negative business impact. Whether data migration operations are outsourced to professional services firms or conducted by in-house staff, the current process and its many manual and uncontrolled stages expose enterprises to significant risk of human error.
"The downside to human error in the data migration process is enormous," said Robert Passmore, research vice president at Gartner. "Human error can lead to extended downtime, interoperability issues and cost overruns. Automating data migration can remove this opportunity for error and inherently improves the quality of the migration."