About This Architecture

Real-time Change Data Capture (CDC) pipeline from SQL Server to Kafka using Debezium for continuous data synchronization. CDC Log Reader monitors the SQL Server transaction log, feeding changes to a Debezium Connect Cluster that publishes events to a three-broker Kafka cluster via Schema Registry. Backend Consumer Service subscribes to Kafka topics, applies changes via Sync Processor to the target SQL Server App DB, and exposes synchronized data through REST API and Frontend Web Application. This architecture eliminates batch delays and ensures sub-second consistency between source and target databases. Fork this diagram on Diagrams.so to customize broker counts, add monitoring, or integrate alternative connectors like Postgres Logical Decoding.

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How do I build a real-time CDC pipeline from SQL Server to Kafka using Debezium?

This diagram shows a complete CDC architecture where SQL Server CDC Log Reader captures transaction log changes and feeds them to a Debezium Connect Cluster. The cluster publishes events to a three-broker Kafka cluster via Schema Registry, which a Backend Consumer Service subscribes to, applies changes to the target App DB via Sync Processor, and exposes through REST API.