SQL Server to Aurora PostgreSQL conversion with AI agents for AWS DMS

AI agents connected via an AWS MCP Server and a dms-schema-conversion skill can orchestrate SQL Server to Aurora PostgreSQL schema conversion through natural language using AWS DMS Schema Conversion. The post explains the four-step conversion pipeline (parse, resolve, transform, generate), action item severity levels from INFO to CRITICAL, and decision frameworks for common incompatibilities like full-text search, error handling functions (XACT_STATE, ERROR_*), and CLR assemblies. It stresses that AI-generated and rule-based output alike only guarantees syntactic validity, not semantic equivalence, so functional regression testing against source behavior is required before production use. Operational guidance covers DMS quotas, throughput tuning, concurrency, and cost considerations for running conversions at scale.

Source: https://aws.amazon.com/blogs/database/sql-server-to-aurora-postgresql-conversion-with-ai-agents-for-aws-dms. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.