Datometry, a trailblazer in database virtualization, revealed the successful and complete data platform modernization of a leading logistic company using Datometry Hyper-Q.
The integrated container logistics company, ranked in the Forbes Global 2000, migrated to Microsoft Azure Synapse from its legacy on-premises data warehouse in record time. It needed a tech solution that maintains high-volume ETL processes supported by a large pool of business analysts and data scientists.
According to Datometry, the logistics company chose its solution as it wanted to move to a cloud data warehouse to manage customers’ supply chains’ flexibility and speed demands. As a result, it saved millions on supposed rewriting SQL code costs and reduced risks tied when transferring existing applications natively to Azure Synapse.
“As a global pioneer in ocean and inland shipping, our customer — arguably the worldwide leader in logistics – has long been on the forefront of organizations’ ability to meet the needs of businesses – and those businesses’ customers – worldwide. An enterprise the size and scope of this customer migrating to the cloud with Datometry and Microsoft so quickly, without the cost and risk of a typical migration, demonstrates how database virtualization can unlock the benefits of the cloud for any organization,” said Mike Waas, chief executive officer at Datometry.
Hyper-Q is“a SaaS platform that lets applications initially written for a specific database run natively on a cloud data warehouse. It enables the enterprise to re-platform to the public cloud without a highly time-consuming, costly, and risk-laden database migration. Specifically, Hyper-Q rewrites the SQL statement to take advantage of the intricacies of the new destination cloud platform.
Compared to digitized migrations like the services offered by Datometry, conventional migrations are far more expensive with a 20% chance of success and time-consuming, usually taking at least five years for full completion.
Leading Fortune 500 and Global 2000 enterprises utilize Datometry Hyper-Q to accelerate cloud modernization and move workloads between data warehouses. It eliminates risk-laden, expensive, and time-consuming application rewrites.
McKinsey & Company identifies Asia as the center of all growth and investment logistics activity. The management consulting firm forecasted that Asia would contribute to 50% of the world’s trade growth. Indonesia, Vietnam, and Thailand show the highest growth potential. Industry movers must strategize and reconfigure current tech to capture this opportunity.
