When it Comes to the Cloud: “First, Do No Harm”

Enterprises are flocking to the cloud, and for good reason. The Cloud offers flexibility to scale services as needed, little-to-no investments with the reduction of hardware use and maintenance, and freedom to securely access your data from essentially anywhere. Companies across the board are increasingly tech-driven and adopting cloud-first strategies to prioritize the shift to the cloud. For many, shifting to the cloud began with storage, compute, and SaaS applications. However, for existing, heavily-customized applications for data warehousing—think Teradata and Oracle—there are no short-cuts to the cloud.

To run such applications natively in the cloud, they have to be refactored by rewriting and adjusting millions of lines of SQL code to work with the cloud database such as Microsoft Azure SQL DW or AWS Redshift. It’s a time-consuming, complicated process which is highly vulnerable to manual errors that can have major repercussions. Imagine you run a supply chain company’s IT branch and are migrating your existing apps to a cloud database. It’s up to you, your team, and likely hired consultants to accurately translate the code and keep your operations running smoothly. Just one error in rewriting code can set your project back weeks, even months, and cause turmoil for your logistics, staff, and customers. When you consider the resources it took to build your original application, plus the time lost in writing and rewriting it, you’re losing time and money on both ends.

The application migration process seems long, costly, and full of risk, making the cloud shift for data warehousing applications a big pill to swallow. Enterprises either spend years and millions of dollars undertaking it, or avoid it altogether. But avoiding cloud shift because of cost and risk is a lot like that old joke: A patient goes to his doctor, raises his arm, and says, “Doc, my arm hurts when I do this.” The doctor shrugs and says, “Well, don’t do that.” That’s not good enough. Enterprises need real solutions for smoothly and quickly adapting applications to new databases in the cloud.

Datometry’s Adaptive Data Virtualization technology is the long waited remedy for high-risk, high-cost, time-consuming migrations to the cloud. Datometry delivers a powerful solution that makes databases interchangeable, allowing you to run natively and instantly your existing, customized Teradata and Oracle applications on cloud databases (Azure SQL DW, Redshift, Aurora, Greenplum on AWS or Azure, Snowflake, and more) without manual migration—and ensuring you “do no harm” to your business.