datastoresynkronisering

Datastore synchronisering is the process of propagating changes between multiple data stores to keep copies of data consistent. It can occur across devices, services, or data centers and may be real-time or scheduled, depending on requirements such as latency, availability, and reliability.

Key concepts include a source of truth, replicas, and mechanisms for change propagation and conflict resolution. Synchronization must tolerate network partitioning, partial failures, and varying latencies. Data consistency models range from strong to eventual, with many systems aiming for near-real-time consistency while allowing temporary divergence.

Common architectures include client-driven synchronization, where clients push changes to a central service and pull updates; server-driven synchronization, where a coordinating service manages replication to replicas; and peer-to-peer replication, where nodes synchronize directly with each other. Techniques used are log-based replication, change data capture (CDC) streams, and, in some cases, conflict-free data types (CRDTs) or operational transformation to handle concurrent updates.

Conflict resolution is a central concern in bidirectional sync. When two locations modify the same record, conflicts must be detected and resolved. Approaches include last-writer-wins, version vectors, domain-specific merge logic, or user intervention. Some systems aim to avoid conflicts using CRDTs or by constraining update paths.

Technologies and terms commonly involved include CDC, replication logs, message queues, and offline-enabled data stores. Typical implementations support structured or semi-structured data, and may be integrated with databases, caches, and storage services to provide consistent views across distributed components.

Use cases cover mobile apps with offline support, multi-region or multi-datacenter deployments, distributed caching, data integration, and disaster recovery. Key considerations include data governance, security, schema evolution, idempotency, and performance tuning to balance consistency, latency, and throughput.