Accelerate database modernization with agentic AI in AWS DMS Schema Conversion

This article announces AI agents for AWS DMS Schema Conversion that automate end-to-end database migration workflows from Oracle, SQL Server, Db2, or Sybase to Amazon RDS and Aurora PostgreSQL.

• AI agents orchestrate full migration lifecycle: project creation, metadata import, schema conversion, report generation, and result export via natural language
• Complementary to December 2024 generative AI feature; agents can activate AI-assisted conversion for unconvertible objects
• Agents connect through AWS MCP server using the DMS Schema Conversion skill with built-in API patterns and best practices
• Setup requires MCP-compatible coding agent (Kiro CLI, Claude Code, Cursor, Codex) with AWS credentials for DMS, Secrets Manager, S3, and RDS
• Early pilots show 60-70% reduction in schema conversion cycle time, with greatest gains on projects containing 50+ objects
• Agents handle orchestration, rule-based engine handles known patterns, generative AI resolves edge cases

AI agents enable enterprise-scale database modernization by automating complex migration workflows, reducing manual effort and engineering capacity requirements.