Aurora PostgreSQL with Babelfish by Bill Ramos

Abstract What if you could run T-SQL based applications using the PostgreSQL database engine without having to completely migrate your application or database code to PostgreSQL? In this session, you’ll learn: What Babelfish for Aurora PostgreSQL is all about and why it matters How PostgreSQL language extensions make Babelfish possible How to perform a compatibility assessment using Babelfish Compass and get an idea of the migration effort What you should know about creating a Babelfish cluster on Aurora PostgreSQL Using SQL Server Management Studio to connect to your Babelfish cluster for creating a database How to migrate a SQL Server database to Babelfish cluster using Amazon Web Services Database Migration Services What are the limitations with Babelfish and ways to workaround common using PostgreSQL functions with T-SQL connections Where to find additional resources to learn more about Babelfish Speaker Bio Bill Ramos is a Product Manager on the Amazon Web Services Aurora team specializing in Babelfish. Bill has worked with SQL Server since 1992 while working at Ashton Tate. Bill worked at Microsoft from 1995 to 2010 as a Program Manager for Visual Studio, Microsoft Access, and SQL Server Management Studio. After Microsoft, Bill worked for a couple of technology consulting companies including DB Best Technologies before joining Amazon in 2021. Session Materials