This article provides a comprehensive guide for IT leaders planning database modernization, outlining pathways, AWS services, and best practices for successful transformation.

• Four modernization pathways: lift-and-shift, move-to-managed, break-free-from-legacy, and purpose-built databases
• Lift-and-shift offers low complexity but minimal benefits; managed services provide better value
• Breaking free from commercial databases to Aurora reduces costs and enables cloud-native architectures
• Purpose-built databases (DynamoDB, DocumentDB, Neptune) offer highest complexity but greatest transformation
• Key AWS tools: Database Migration Service, Schema Conversion Tool, DMS Fleet Advisor
• Common pitfalls: lack of executive sponsorship, underestimated scope/complexity, poor go-live planning
• Success requires skilled people, proper planning, assessment, proof-of-concept, development, and launch phases
• Consider AWS Partners or professional services for complex migrations and expertise gaps

Successful database modernization requires careful planning, risk mitigation through proof-of-concept, and proper execution of migration and launch phases to achieve cost savings and business agility.