Datometry: Simplifying Adoption of Cloud Data Warehouses

In the race to business excellence and competitive advantage, enterprises are scrambling to adopt cloud databases and data warehouses on a large scale to reduce operating expenses and improve their ROI. However, adopting cloud data management technology presents some unique challenges. As per Mike Waas, CEO and Founder of Datometry, the challenge is not moving the database content but rather the application stack that runs on the data warehouses. Re-platforming application workloads are typically multi-year projects that can cost in the millions of dollars. This is where Datometry comes in with their first-of-its-kind Adaptive Data Virtualization technology that virtualizes the data warehouse and enables enterprises to adopt cloud-native data management solutions in weeks, not years.

Datometry is fundamentally changing the economics of the data management market with a vision to help customers select the cloud data warehouse platform based on the capabilities and economics they need. “With Datometry’s hypervisor-like virtualization technology—Hyper-Q—we are tackling the toughest re-platforming problems,” says Waas. “We liberate customers, especially as they move to the cloud, and let them choose the right data warehouse for the job, eliminating the need for costly application and data warehouse migration.”

Datometry Hyper-Q provides a translation platform between the application and the underlying data warehouse and intercepts all communication in real time with no measurable overhead. In addition to translating statements and results, Hyper-Q also reformulates statements that use features in the original data warehouse not available in the cloud data warehouse. In a nutshell, Hyper-Q enriches the cloud data warehouse and closes the feature gap between the applications and the data warehouse. When data is migrated to different databases, Datometry seamlessly redirects and translates calls from the application to the new database—in the cloud or on premises—without the manual rewriting of applications or performance overhead.

Prior to the re-platforming initiative, Datometry Query Intelligence software is used to provide a fast, automated, and detailed analysis of existing application workloads and feature gaps in the new data warehouse.