Snapshot Based Replication
Snapshot Based Replication is a data replication technique that involves creating a point-in-time copy (snapshot) of a dataset and transferring it to a target system, rather than continuously streaming incremental changes. It is commonly used in databases, storage systems, and distributed computing to synchronize data across locations or systems. This method provides a consistent view of data at a specific moment, making it useful for backups, data migration, and initial synchronization.
Developers should use Snapshot Based Replication when they need to replicate large datasets efficiently with minimal network overhead during the initial sync, or for creating consistent backups without impacting live systems. It is particularly valuable in scenarios like disaster recovery, data warehousing, and setting up read replicas in databases, where a full copy of data is required at a specific time. However, it may not be suitable for real-time applications due to latency between snapshots.