The following diagram shows an overview of the Babelfish architecture.īabelfish Compass is a compatibility assessment tool for Babelfish for PostgreSQL. Over time, you may choose to gradually migrate to PostgreSQL. If desired, new development can also be done in T-SQL. This way, you can keep the legacy app mostly as it’s written in T-SQL. Support for T-SQL includes elements such as the SQL dialect, cursors, catalog views, data types, triggers, stored procedures, and functions. It can also speak to the PostgreSQL endpoint and use PL/pgSQL. Your client application can connect directly to the TDS endpoint and speak T-SQL. A Babelfish instance is bilingual, speaking both protocols and languages with one single cluster. With Babelfish, Aurora PostgreSQL-Compatible Edition can support both Postgres PL/pgSQL and T-SQL. In this post, we show you how to evaluate the T-SQL queries within the client applications, for assessing the complexity of SQL Server to Babelfish migration. Although Babelfish helps reduce the effort required to modify and move client applications to Aurora, proper analysis is needed to identify the scope of changes. ![]() With Babelfish, Aurora PostgreSQL-Compatible Edition understands T-SQL, Microsoft SQL Server’s SQL dialect, and supports the same communications protocol, so your apps that were originally written for SQL Server can work with Aurora with little or no T-SQL code changes. Migrating application logic often requires rewriting a lot of code to use different interfaces, refactoring other code to handle semantic differences, and sometimes redesigning code because of extensive use of proprietary capabilities from the old-guard database providers. When migrating your databases to Amazon Aurora PostgreSQL-Compatible Edition, you can automate the migration of your database schema using the AWS Schema Conversion Tool (AWS SCT) and migration of data using AWS Database Migration Service (AWS DMS), but the majority of effort, time, cost, and risk is in migrating the client application logic. Migrating from legacy SQL Server databases can be time-consuming and resource-intensive. ![]() ![]() Babelfish for Aurora PostgreSQL is a capability for Amazon Aurora PostgreSQL-Compatible Edition that adds an endpoint to PostgreSQL that understands the SQL Server wire protocol Tabular Data Stream (TDS), as well as commonly used T-SQL statements from client applications written for Microsoft SQL Server.
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