Travis SingletonReplatforming, Solutions

Teradata Applications on Azure SQL DW. Instantly.

teradata to azure sql dw

Why Move to Microsoft Azure SQL Data Warehouse?

Fast and Scalable

Quickly implement a high-performance, MPP architecture cloud data warehouse that can independently scale compute and storage.

Flexible and Extensible

Seamlessly create your hub for analytics with native connectivity with data integration and visualization services while leveraging your existing SQL and BI skills.

Trusted and Secure

Peace of mind with financially guaranteed 99.9 percent availability, regulatory compliance built-in advanced security features, and data sovereignty across 30+ regions.

It’s Quick and Easy

With Datometry Adaptive Data Virtualization, migrate enterprise data management to the cloud in weeks, not years, without rewriting database applications.

Case study

Replatforming Custom Business Intelligence Applications

A Fortune 100 Retailer was looking to move their sizable custom business intelligence application with close to 40 million application queries executed per week to cloud-native Microsoft Azure SQL Data Warehouse. Their own testing and POCs had found that rewriting the entire application stack for the new cloud data warehouse would be a multi-year project with costs running in the tens-of-millions of dollars.

Why the Data Architect Chose Datometry

Datometry Hyper-Q functionality allowed the customer to transfer their stored procedures immediately—without re-writing them— to the modern Azure SQL DW in twelve weeks.

Why the Business Chose Datometry

The deployment phase, including the hardening phase, was reduced from several years to just four months.

Boost Your Data Warehouse While Reducing Costs

Forrester Total Economic Impact Report: Four Enterprises Saw Significant Benefits After Deploying Azure SQL DW
Download Report


Cloud Databases are a Quantum Leap

Mike Waas, Founder & CEO Datometry, and Peter Burris, Head of Research at SiliconANGLE Media, Inc., discuss how cloud databases are a fundamental change from on-premise systems.


For a more detailed Q&A, visit our Hyper-Q Product Page.

Adaptive Data Virtualization allows existing database and data warehouse applications to run on any cloud database, making applications and databases interoperable. Enterprises can now adopt the cloud database of choice, without having to rip, rewrite, and replace applications.
Hyper-Q intercepts communication off the network native protocol and returns bit-identical results for database applications. The solution translates query statements and results in real-time. The application can continue using the original driver and original SQL syntax. In this regard, the application is perfectly preserved and operates natively as with the original database.
Because Hyper-Q makes applications and databases interoperable, replatforming to a new cloud database takes just a few weeks.
Contact the Datometry Team at for a demo and learn more.

Datometry Hyper-Q allows any existing Teradata application to run on Microsoft Azure.

Learn about Hyper-QDownload Technical Brief


Additional Information

White Paper

Re-Platforming Data Warehouses – Without Costly Migration Of Applications

When enterprises want to move part or all of their data management to the cloud, the biggest problem isn’t typically to do with compute or storage, nor is it about performance or latency. The biggest barrier is moving the applications that need to use that data…

Datometry News

Datometry Founder & CEO in Exclusive Interview with CEOToday Magazine

Waas answers questions on his long-time interest in commercial database development, his thought process behind creating truly disruptive virtualization technology, solving the challenge of virtualizing databases and data warehouses…