SQL Server Replication vs Change Data Capture: Key Differences for Enterprises

SQL Server replication and change data capture (CDC) both use the transaction log but serve different purposes: replication maintains synchronized, queryable copies of data for reporting, workload offload, high availability, and distributed deployments, while CDC records detailed insert, update, and delete histories for ETL, analytics, auditing, streaming, and integration. Replication uses publisher, distributor, and subscriber roles and supports snapshot, transactional, merge, and peer-to-peer models, whereas CDC writes changes, including before and after images for updates, to dedicated change tables that consumers query by log sequence number. Both approaches require operational monitoring, as replication can encounter distribution, agent, and network bottlenecks, while CDC can cause rapid change-table and transaction-log growth if capture or cleanup jobs fall behind. They can operate together by sharing SQL Server’s log-reading infrastructure, although failures may then affect both processes. Schema changes often require manual planning in either approach, particularly because CDC does not automatically include newly added columns. Azure support differs by deployment type, and tools such as CData Sync can consume SQL Server CDC or change tracking to move incremental data into cloud warehouses and other destinations.

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