Overview
The Agentic Database Analysis & Migration (ADAM) accelerator is a cloud-native, AI-powered solution that streamlines the end-to-end journey of migrating legacy or on-premises databases to AWS. Whether you’re targeting Amazon RDS, Aurora, DSQL, or another AWS-native service, ADAM provides a unified experience to assess, plan, and execute your migration faster and with fewer surprises. After migration, an automated validation step checks data consistency between the source and target databases to ensure accuracy and completeness, giving your team confidence int eh integrity of the migrated data.
ADAM automatically analyzes your source database (e.g., Oracle, SQL Server, MySQL, PostgreSQL) for compatibility, performance, and Total Cost of Ownership (TCO). It then generates a tailored migration plan with risk flags, schema recommendations, and modernization options. Built on AWS-native services like AWS Database Migration Service (AWS DMS), Amazon EventBridge, and Step Functions, it orchestrates a guided and auditable migration from start to finish.
What makes ADAM unique is its embedded GenAI assistant powered by Strands, a multi-agent orchestration layer running on Amazon Bedrock. Strands helps explain complex findings in plain language, answer migration questions in real time, and provide contextual decision support along the way, helping customers migrate smarter, not harder.
Highlights
- End-to-end database migration to AWS-native services: Analyze, plan, and execute migrations from legacy databases to Amazon RDS, Aurora, DSQL, and more with compatibility checks, TCO analysis, guided execution using AWS-native tools, and built-in data validation post-migration.
- Powered by GenAI and Strands orchestration: Strands, built on Amazon Bedrock, provides real-time insights, contextual guidance, and natural language support across every step of your migration.
- Accelerates time-to-value for database modernization: Eliminate manual effort and risk with an AI-driven solution that streamlines migrations and helps teams confidently move to AWS faster.
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