Zero-Downtime Migration Frameworks for Enterprise Data Systems Using Incremental Replication

Abstract

 Enterprise organizations increasingly migrate critical databases to cloud and distributed environments to improve scalability, performance, and operational flexibility. However, traditional database migration approaches typically require planned downtime, resulting in service interruptions, business disruption, and potential financial losses. This study evaluates a zero-downtime migration framework based on incremental replication for enterprise data systems. The proposed framework integrates initial bulk data transfer, Change Data Capture (CDC), continuous synchronization, validation mechanisms, and controlled cutover procedures to  enable seamless migration while maintaining business continuity. A simulation-based experimental environment 
was developed using Oracle and MySQL source databases, PostgreSQL and Snowflake target systems, and a 5 
TB enterprise dataset.