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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Performance benchmarking of Debezium Server streaming MySQL changes to Kafka using default configurations reveals that the CDC layer is not the bottleneck—MySQL's write capacity is. Testing on AWS EC2 instances with YCSB workloads shows stable CPU and memory usage, with throughput primarily influenced by table-specific characteristics rather than operation volume. Debezium Server proves to be a production-ready, lightweight alternative to Kafka Connect for small-to-medium projects, delivering near real-time CDC without operational complexity. The study recommends starting with default configurations, optimizing database schema design, and scaling architectural complexity only when necessary.

Measuring Debezium Server performance when streaming MySQL to Kafka