Data Synchronization is the process of ensuring that data across multiple systems, databases, or storage repositories remains consistent and up-to-date by propagating changes made in one system to other systems in near real-time or according to predefined schedules. Data synchronization mechanisms include master-slave replication, multi-master replication, distributed transactions, change data capture (CDC), event-driven architectures, and synchronization protocols (e.g. SyncML, OData). Data synchronization enables data consistency, integrity, and coherence across distributed environments, applications, and databases, supporting collaborative workloads, offline access, and distributed computing scenarios.
