Debezium vs Managed CDC: How to Actually Decide Build or Buy
The real CDC decision isn't log capture but who owns the operational surface around it. A practical framework for choosing between Debezium and managed CDC platforms.
Most Debezium-vs-managed-CDC comparisons ask the wrong question by turning it into a feature bake-off, when transaction-log capture (Postgres WAL, MySQL binlog, etc.) is essentially a solved problem that every tool handles similarly. The real differentiator is everything surrounding capture: backfill coordination, safe schema evolution, delivery to destinations, lag and retry monitoring, and the on-call burden when a replication slot fills up. The piece first corrects outdated assumptions, noting Debezium 3.x now offers flexible deployment modes beyond classic Kafka Connect (Debezium Server, the Management Platform, embedded usage), that Kafka 4.x runs in KRaft mode without ZooKeeper, and that Debezium 3.3 added exactly-once support via Kafka Connect with transactional guarantees.
On the build side, Debezium itself is free, but real cost appears in engineering time for pipeline design, snapshot/backfill coordination, schema evolution handling, destination integration, delivery guarantees, and ongoing monitoring, on-call and upgrades. On the buy side, managed platforms like Fivetran, Airbyte, Confluent Cloud, AWS DMS, Google Datastream, and Estuary absorb most of that operational burden, but introduce volume-scaled recurring costs, reduced low-level control, and vendor lock-in risk. The framework argues the right choice depends on team depth, projected data volume, and whether CDC is close enough to core competency to justify owning it — offering engineers a decision model rather than a single verdict.