AWS Database Blog
Author: Ramesh Kumar Venkatraman
Ramesh Kumar Venkatraman is a Solutions Architect at AWS who is passionate about containers and databases. He works with AWS customers to design, deploy and manage their AWS workloads and architectures. In his spare time, he loves to play with his two kids and follows cricket.
Near zero-downtime migrations from self-managed Db2 on AIX or Windows to Amazon RDS for Db2 using IBM Q Replication
When you’re migrating your mission-critical Db2 database from on premises or Amazon Elastic Compute Cloud (Amazon EC2) to Amazon RDS for Db2, one of the key requirements is to have near-zero downtime. This post demonstrates how to use IBM InfoSphere Data Replication (IIDR) Q Replication to migrate data with minimal downtime.
Deep dive into Babelfish Compass
April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. Babelfish for Aurora PostgreSQL is a capability for Amazon Aurora PostgreSQL-Compatible Edition that enables Amazon Aurora to understand commands from applications written for Microsoft SQL Server. When migrating from SQL Server to Babelfish for Aurora PostgreSQL, the first step is often a […]
Prepare for Babelfish migration with the AWS SCT assessment report
Database migrations typically consist of converting the database schema and loading the data from the source database to the target database. After the migration, developers still need to change the application to use the target database drivers, and they often need to rewrite the application code to make it all work. With Babelfish for Aurora […]
Migrate from SQL Server to Amazon Aurora using Babelfish
Enterprise customers have repeatedly told us they want to migrate to open-source databases such as PostgreSQL. You can choose from several different ways to migrate your data and database schema from SQL Server to PostgreSQL. However, after the initial database migration is completed, manually rewriting application code, switching out database drivers, and verifying that the […]