Batch Synchronization
Batch synchronization is a data processing technique where multiple data updates or operations are grouped together and executed as a single batch at scheduled intervals, rather than processed individually in real-time. It is commonly used in distributed systems, databases, and enterprise applications to optimize performance, reduce network overhead, and handle large volumes of data efficiently. This approach contrasts with real-time synchronization, which processes each change immediately as it occurs.
Developers should use batch synchronization when dealing with high-latency networks, large-scale data migrations, or systems where immediate consistency is not critical, such as in reporting databases, data warehousing, or offline-first mobile apps. It is particularly useful in scenarios like synchronizing user activity logs, updating inventory records overnight, or aggregating financial transactions, as it minimizes resource usage and improves throughput by reducing the frequency of data transfers and database writes.