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 3.6.0.Alpha1 is the first preview release in the 3.6 cycle, resolving 100 issues across the entire ecosystem. Key highlights include: a new Docling SMT for enriching change events with structured document output suited for AI/RAG workflows; a new Amazon SNS sink for Debezium Server enabling direct CDC fan-out to AWS subscribers; a reworked Oracle LogMiner batch-sizing algorithm based on log file size/count instead of hard-to-tune SCN properties; OpenTelemetry tracing support for the Cassandra connector; OAuth2 authentication and batch mode for the HTTP sink; Agroal replacing C3P0 as the JDBC sink connection pool; and Helm chart improvements for the Debezium Operator and Platform. Breaking changes affect MongoDB (Avro schema name sanitization for collection names starting with digits) and PostgreSQL (enum values now returned in logical sort order rather than storage order).

Debezium 3.6.0.Alpha1 Released