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's team addresses common misconceptions from CDC evaluation articles, clarifying that Kafka is not required and offering multiple deployment models: Kafka Connect, Debezium Server (standalone with Kinesis, Pub/Sub, Pulsar, etc.), Debezium Platform (operator-managed), and embedded options via Quarkus, Spring Integration, Apache Camel, or PyDebezium. Setup complexity is shown to be minimal with a single Docker command. SMTs cover filtering, masking, routing, and even AI vector embeddings. Monitoring relies on JMX + Prometheus + Grafana rather than a built-in UI. The post honestly outlines when Debezium is not the right fit: fully managed SaaS needs, all-in-one transformation platforms, teams with no JVM experience, or small-scale simple CDC scenarios.

What Nobody Explains About Debezium in 2026 (But Should)

How Debezium fits modern CDC architectures