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 3.5.0.Final introduces major improvements across its connector portfolio. Key highlights include new parallel multithreaded chunk-based snapshots for faster initial loads, Oracle memory optimizations yielding ~50% bookkeeping reduction, improved LogMiner performance, Oracle 26ai compatibility, and dynamic archive destination support for failover scenarios. MySQL gains signal-based binlog offset adjustment. SQL Server adds managed identity (Azure AD) support and improved transaction metadata. The CockroachDB connector receives initial snapshot support, multi-table concurrent streaming, schema change tracking, and incremental snapshots. Quarkus extensions are relocated to a dedicated repository, now supporting Db2 and Oracle, batch processing handlers, Hibernate L2 cache invalidation, and JBang integration. The Debezium Platform UI adds a guided tour, HTTPS/TLS support, and a virtualized tree view for better performance. 216 issues were resolved in total. Plans for 3.6 include decoupling from Kafka, pluggable schema management, native Debezium Server builds, and built-in observability.

Debezium 3.5.0.Final Released