by: Mike Waas

Datometry Solution Featured Extensively in Gartner Technical Paper on DBMS Migration

San Francisco – Nov 2, 2017 – Datometry announces that its first-of-its-kind Adaptive Data Virtualization™ technology is featured as a prominent solution to re-writing applications in a data warehouse replatforming initiative in a Gartner Technical Professional Advice White Paper. The White Paper, titled, Familiarize Yourself With DBMS Migration Best Practices to Ensure Success, (link to Gartner site; account required to download the white paper), “offers guidance about the techniques technical professionals can use to migrate between DBMSs and provides examples about how to detect and handle the many pitfalls.”

Datometry’s flagship product—Datometry Hyper-Q—enables enterprises to replatform existing data warehouse applications instantly to modern cloud data warehouses without rewriting or reconfiguring the applications. For example, applications originally developed for Teradata can now run transparently on Azure Synapse, Amazon Redshift, and Google BigQuery. This means enterprises can accelerate the digital transformation of their IT infrastructure by eliminating the costs and risks of adopting new data management technology and realize significant savings, innovate faster, and increase the speed of business.

The Gartner White Paper also details a Datometry use case for U.S. Fortune 500 Healthcare Provider urgently requiring a cloud Disaster Recovery system for its enterprise data warehouses (link to use case). Datometry technology enabled the enterprise to meet its requirements of its existing Teradata Data Warehouse applications to communicate seamlessly and immediately with both the on-premise data warehouse and the selected Amazon Redshift disaster recovery data warehouse without rewriting their applications.

Mike Waas, Datometry Founder & CEO, “We are are very pleased that Gartner—one of the world’s leading information technology research and advisory company—has showcased the disruptive Datometry technology. Our technology is seeing great traction with Global Fortune 500 companies as enterprises race to take advantage of the very significant TCO benefits that cloud data warehouses have to offer.”

Datometry partners with leading cloud service providers and database vendors including Amazon Web Services, Google Cloud Platform, Microsoft, and Pivotal and is available on Microsoft Azure MarketplaceAWS Marketplace, and Pivotal Network.


About Datometry

Datometry ( is revolutionizing how global enterprises can gain competitive advantage by up-leveling their data management to become cloud-native quickly and effectively. Datometry Hyper-Q is a category-defining solution that accelerates the digital transformation of enterprise IT by eliminating the costs and risks of adopting new data management technologies and lets the enterprise realize significant savings, innovate faster, and increase the speed of business. Hyper-Q is powered by Datometry’s proprietary technology developed by an expert team of database researchers and engineers. Datometry is headquartered in San Francisco, California.

Media Contact: Deepak Patel at

Datometry and associated marks are trademarks or registered trademarks of Datometry, Inc.

About Mike Waas CEO

Mike Waas founded Datometry with the vision of redefining enterprise data management. In the past, Mike held key engineering positions at Microsoft, Amazon, Greenplum, EMC, and Pivotal. He earned an M.S. in Computer Science from the University of Passau, Germany, and a Ph.D. in Computer Science from the University of Amsterdam, The Netherlands. Mike has co-authored over 35 peer-reviewed publications and has 20+ patents on data management to his name.