by: Datometry
4 Reasons Why Data Virtualization Might Not Solve Your Migration Problem — Toolbox
Moving critical data assets to the public cloud is one of the most challenging problems IT leaders are tasked to tackle in 2021. There’s a general misconception that data virtualization might somehow help in this migration. In this article, Mike Waas, CEO, Datometry, examines database virtualization as the alternative.
One of the most challenging problems IT leaders face in 2021 is moving data to the public cloud and finding a new home for the data warehouse. Enterprises must migrate from existing systems and get their data warehouse to the public cloud to innovate and compete.
Unfortunately, there’s a general misconception that data virtualization might somehow help with this migration. It probably speaks more to a desperate need and the complexity of the problem than for an actual solution. The conventional approach of database migration is such a terrible ROI that everything else might just be a better solution? Read the full article here.
Datometry is the leader in database system virtualization. Datometry’s technology frees enterprises from vendor lock-in on their on-premises database technology and accelerates any enterprise’s journey to the cloud. Datometry Hyper-Q empowers enterprises to run their existing applications directly on a cloud database of their choice without the need for costly and risk-laden database migrations. Leading Fortune 500 and Global 2000 enterprises worldwide realize significant cost savings and out-innovate their competition with Datometry during this critical period of transformation to cloud-native data management. For more information, visit www.datometry.com.