Harness the power of Google BigQuery for your most demanding analytics
Tap the scalability of Google BigQuery with Datometry. Run existing reporting, Business Intelligence, or analytics applications natively and without the hassle of re-writing, re-configuring, or re-inventing.
BI, Reporting, and Analytics
Capitalize on BigQuery’s strengths and execute BI, Reporting, and Analytics workloads developed for Teradata directly on BigQuery.
IAM & OAuth
Leverage Hyper-Q’s integration with Identity and Access Management (IAM) and OAuth to make existing authentication mechanisms of Teradata applications instantly interoperable with GCP.
Cloud Logging and Monitoring
Integrate deeply with GCP Cloud Logging and Monitoring to have all operational information readily available.
Deploy and operate securely in GCP
Datometry Hyper-Q is an integral building block of your analytics ecosystem on GCP. Hyper-Q’s high performance data plane deploys directly in the enterprise cloud tenant so your data never leaves the tenant. Keeping you in full control of your data — and in compliance.
Frequently Asked Questions
See also for answers to more frequently asked questions.
Datometry Hyper-Q is a SaaS platform that lets applications originally written for a specific database run natively on a cloud data warehouse. Hyper-Q enables enterprise to replatform to public cloud without a highly time-consuming, costly, and risk-laden database migration
Datometry Hyper-Q translates and emulates SQL statements and translates data in real-time between application and cloud data warehouse. Specifically, Hyper-Q rewrites the SQL statement in a way to take advantage of the intricacies of the new destination system. The application, and with it the long-standing investment into its development, is preserved and disruptions to the business are averted.
Datometry Hyper-Q supports all application types. Because of its position in the IT stack, Hyper-Q “sees” only SQL and management statements but does not need to know about the semantics of the application