1. AWS Documentation
"Working with Babelfish for Aurora PostgreSQL": In the section "What is Babelfish for Aurora PostgreSQL?"
it states
"With Babelfish
Aurora PostgreSQL now understands T-SQL
Microsoft SQL Server's proprietary SQL dialect
and supports the same communications protocol
so your apps that were originally written for SQL Server can now work with Aurora with fewer code changes." This confirms its suitability for migrating SQL Server applications.
2. AWS Documentation
"Migrating a SQL Server database to Babelfish for Aurora PostgreSQL": The overview section of this guide highlights the benefits
which include "Stop paying for expensive and restrictive database licenses." This directly addresses the cost optimization requirement of the question.
3. AWS Database Blog
"Modernize Microsoft SQL Server to Amazon Aurora with Babelfish": This article explains the value proposition: "Babelfish for Aurora PostgreSQL reduces the risk of migration projects by reducing the amount of code you have to change... It also helps you stop paying for expensive database licenses." This reinforces that Babelfish is the optimal path for cost-effective SQL Server modernization.
4. AWS Documentation
"Amazon Aurora Pricing": This page details the pricing for Aurora
which does not include commercial license fees
unlike RDS for SQL Server. It highlights cost-effectiveness through features like I/O-Optimized configurations and pay-per-use models
contrasting with the fixed licensing costs of commercial databases.