Debezium is a distributed change data capture platform that streams row-level database modifications as real-time events. By parsing database transaction logs, the system broadcasts structural and data changes to message brokers, enabling reactive processing and data integration across distributed architectures.
The platform utilizes log-based capture to extract modifications directly from transaction logs, ensuring minimal impact on source system performance while maintaining the original commit order of operations. It employs database-specific connector adapters to translate proprietary binary formats into a unified event structure, supported by schema-registry-backed serialization to maintain consistent data definitions. To ensure a complete baseline for synchronization, the system performs snapshot-based initial states before transitioning to continuous event streaming.
The tool supports a broad range of data integration tasks, including the maintenance of analytical stores and the synchronization of data across operational systems. Users can refine the data stream by applying filters to include or exclude specific tables, columns, or data types, and the system maintains an accurate representation of data models by parsing structural statements during the capture process.
The project is implemented as a plugin for distributed message queues, facilitating integration into existing event-driven pipelines.