WEBINAR: March 14, 2018, 10 am PT
Replatform Teradata to Pivotal Greenplum in Weeks, Not Years
Eliminate Rewriting Teradata Applications & Reduce Migration Costs by up to 90%
Join us March 14, 2018 at 10 am PT to learn how Datometry’s Adaptive Data Virtualization™ can migrate a Teradata Data Warehouse to the next-gen, multicloud Pivotal Greenplum analytical platform in weeks, not years.
- Gaining significant economic and innovation benefits by migrating to Greenplum, a modern, multicloud data warehouse built for advanced analytics.
- Eliminating the re-writing of Teradata applications with Datometry data warehouse virtualization technology.
- Reducing the replatforming effort to weeks, not years, and reducing the costs by up to 90%.
- Protecting and expanding the original data warehouse investment with new machine learning, geospatial, text, graph, and more.
- Mike Waas, Founder & CEO Datometry, Inc., one of the world’s top domain experts on databases.
- Derek Comingore, Data Engineering & Analytics Champion, Pivotal Software, Inc.
Why Move to the Cloud?
Cloud databases provide elasticity and shed operations and maintenance costs resulting in significant savings in CAPEX and OPEX.
Modernize IT Infrastructure
Take advantage of modern cloud technology, with all of the benefits of robustness, mature offerings, unprecedented security, and none of the hassles.
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.
Scaling Business Intelligence in the Cloud
A Fortune 100 Global Financial Institution needed to scale their business intelligence application, which was built using 2000-plus Teradata Stored Procedures. After multiple failed attempts, the customer’s own six-month analysis showed that replacing their Teradata footprint was prohibitively expensive, and rewriting the business applications to the next-gen, multicloud Pivotal Greenplum posed significant expense and business risk.
Why the Architect Chose Datometry
Hyper-Q’s emulation of stored procedures enabled running procedures that Greenplum data platform did not support natively. Without Hyper-Q, the customer would have had to completely refactor the logic of the application and implement various control-flow primitives, a very time-consuming and expensive proposition.
Why the Business Chose Datometry
Datometry Hyper-Q functionality allowed the customer to transfer the stored procedures in days, not years.
Datometry Featured Extensively in Gartner Technical Paper
Familiarize Yourself With DBMS Migration Best Practices to Ensure SuccessRead on Gartner
For a more detailed Q&A, visit our Hyper-Q Product Page.
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 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…