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.

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A team at Pepkor NexTech running Debezium with Oracle LogMiner for 4 years shares how they resolved severe CDC replication lag in a large ERP environment. Evening batch jobs caused LogMiner fetch queries to take over 95 minutes due to a nightly truncate-and-load script generating ~476 million redo operations on tables not even in the capture list. By collaborating with the source database team, they replaced the truncate-and-load pattern with Oracle External Tables and a MERGE-based PL/SQL procedure using ROW_NUMBER deduplication. This reduced log volume to only true deltas, cutting maximum query time from 95 minutes to ~12 minutes and average evening query time to ~2.26 minutes. The key lesson: LogMiner performance is tightly coupled to source database behavior, and resolving persistent CDC lag often requires cross-team collaboration on data loading patterns.

Overcoming Oracle CDC Replication Lag Through Collaboration