![]() Debezium also provides a transparent mechanism for applications and data models, avoiding the need to pollute current systems design. There is no delay compared with querying the database or overhead. This general availability (GA) release from Red Hat Integration includes the following Debezium connectors for Apache Kafka: MySQL Connector, PostgreSQL Connector, MongoDB Connector, and SQL Server Connector.ĬDC and event-driven microservices with DebeziumÄebezium's log-based change data capture has the advantage of capturing all of the data changes that were registered in the database, providing a trustable source. Meanwhile, Debezium is a set of distributed services that captures row-level changes in databases so that applications can see and respond to those changes. Thus, change data capture helps to bridge traditional data stores and new cloud-native event-driven architectures. Applications can read these change event streams and access these change events in the order in which they occurred. ![]() CDC captures row-level changes to database tables and passes corresponding change events to a data streaming bus. Change data capture, or CDC, is a well-established software design pattern for a system that monitors and captures the changes in data so that other software can respond to those changes. ![]()
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