Introduction
Our project with an e-commerce client showcases the transformative power of Babelfish for Amazon Aurora in migrating SQL Server databases to AWS, combined with AI-driven predictive modeling to enhance migration efficiency and application performance.
The Challenge
An online retailer faced significant challenges with their product database, which was struggling under the increasing load of queries and transactions. The need for a more scalable, cost-effective solution was paramount to support their growing product range and customer base.
The Solution
We utilized Babelfish for Amazon Aurora to facilitate a smooth migration from SQL Server, ensuring compatibility with minimal code changes. AI predictive modeling was employed to anticipate and address potential migration challenges, optimizing the process for speed and efficiency.
