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What Nobody Explains About Debezium in 2026 (But Should) What Nobody Explains About Debezium in 2026 (But Should) May 22, 2026 by Chris Cranford community news

Teams evaluating Change Data Capture (CDC) tools often encounter comparison articles with titles like "Top Debezium Alternatives in 2026" or "Why We Moved Away from Debezium." These articles can be useful starting points for evaluation, but many rely on characterizations that reflect older deployment patterns rather than Debezium’s current capabilities.

Debezium is not the right fit for every team or every use case, and we will be upfront about that in this post. Different CDC tools optimize for different goals: some prioritize turnkey SaaS experiences, others focus on tightly integrated transformation pipelines, and Debezium optimizes for openness, composability, database breadth, and deployment flexibility. Understanding these tradeoffs is more useful than debating which tool is "best."

This post addresses common questions that arise during CDC evaluations, with an honest look at where Debezium fits and where other approaches might serve your team better.

Deployment models and the Kafka question<br>One of the most common questions during CDC evaluations is whether Debezium requires Apache Kafka. This characterization reflects earlier deployment patterns. Debezium is a Change Data Capture platform, and Apache Kafka Connect is one deployment model, not a requirement.

For many teams, Kafka Connect remains the preferred deployment model, not because it is the only option, but because of the capabilities it provides.

Why teams choose Kafka Connect<br>Deploying Debezium on Kafka Connect is not just a legacy pattern. It’s a deliberate architectural choice that unlocks a rich set of capabilities:

A vast ecosystem of sink connectors. Kafka Connect has hundreds of production-grade sink connectors: JDBC sinks for relational databases, Elasticsearch, S3, Snowflake, BigQuery, and many more. Deploying Debezium as a Kafka Connect source connector means you can pair it with any of these sinks without writing integration code.

Built-in high availability and fault tolerance. Kafka Connect’s distributed mode handles worker failures, automatic task rebalancing, and...