Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.

Debezium's platform is  dedicated to providing insights and resources for developers and data engineers interested in change data capture (CDC) and event streaming architectures. Through articles, tutorials, and documentation, Debezium offers insights into capturing database changes, streaming data to Apache Kafka, and building real-time data pipelines. Developers can learn about CDC connectors, data integration patterns, and event-driven architectures to enable real-time analytics and stream processing.

Debezium

Debezium 3.4.1.Final is now available as the first maintenance release of the 3.4 stream. The release introduces dynamic archive destination support for Oracle, enabling better fault tolerance during primary-to-standby failovers by allowing multiple comma-separated archive destination names. This prevents startup failures when reconnecting after failover. The release also fixes 11 issues across Oracle, MySQL, MongoDB, Cassandra, and JDBC Sink connectors, including LogMiner failures, DDL parsing errors, race conditions in RedisOffsetBackingStore, and thread-safety issues in MongoDB parallel snapshots.

Debezium 3.4.1.Final Released