Moving Microsoft SQL Server Database Applications to Amazon Aurora with Babelfish

7 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

Organizations are moving their database applications to open source database platforms like PostgreSQL. However, for those running Microsoft SQL Server the migration process can seem daunting. Babelfish for Aurora PostgreSQL is a new capability for Amazon Aurora PostgreSQL-Compatible Edition that enables Aurora to understand commands from applications written for Microsoft SQL Server. This session will introduce Babelfish for Aurora PostgreSQL and walk-thru the process to migrate applications from Microsoft SQL Server to Amazon Aurora PostgreSQL using Babelfish

Learning Objectives:
* Objective 1 - Understand the benefits of leveraging Amazon Aurora database service for scalability and cost savings.
* Objective 2 - Learn how to create an assessment report to determine how well your existing SQL Server database application will work with Babelfish.
* Objective 3 - See first-hand how to deploy Babelfish and get started running queries in a fraction of the time associated with traditional database migration.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/rds/aurora/babelfish/ Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS