Organizations are migrating from PostgreSQL to MySQL to enhance scalability in e-commerce and web applications. Real-time migration, using change data capture (CDC), allows continuous synchronization with minimal downtime, making it suitable for high-traffic platforms. Tools like Debezium enable low-latency replication but face challenges such as network overhead and error handling. Batch migration is effective for large, static datasets, using tools like pg_dump and mysqldump, though it can lead to extended downtime. Hybrid migration strategies are emerging, combining real-time and batch processes, with tools like Estuary Flow and AWS Database Migration Service (DMS) facilitating these transitions. Compatibility challenges exist, such as differing data types, and best practices suggest starting with batch processes followed by real-time updates. Future trends indicate that AI-driven automation may improve migration techniques, and the choice of strategy should align with specific workload requirements.