The latest articles on DEV Community by Shaiful Islam (@saifcse). https://dev.to/saifcse https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3761602%2Fef7b572c-7e7a-4a3d-8811-9aceafcbcb96.jpeg https://dev.to/saifcse en Shaiful Islam Sun, 08 Mar 2026 16:26:59 +0000 https://dev.to/saifcse/cdc-maxwell-vs-debezium-1lh0 https://dev.to/saifcse/cdc-maxwell-vs-debezium-1lh0 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fh33ta5dgtegi0a5ngs65.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fh33ta5dgtegi0a5ngs65.png" alt=" " width="800" height="436"></a></p> <h1> CDC </h1> <p>CDC stands for 'Change Data Capture', in a short sentence, it captures data changes mostly from DB.</p> <p>Maxwell and Debezium are two most known tools used for CDC, while Maxwell is light-weight daemon specialized for MySQL only where Debezium is a big giant supporting many DBs focusing on distributed systems.</p> <h2> Maxwell: </h2> <ul> <li>Simple, low-setup tool. Standalone daemon.</li> <li>JSON format output, easy and common way to integrate with others.</li> <li>MySQL only, limited schema features.</li> </ul> <h2> Debezium: </h2> <ul> <li>Good for complex architectures requiring high reliability.</li> <li>Supports multiple DBs, robust, large community, schema-aware.</li> <li>Architecture: Distributed (Kafka Connect). </li> </ul> <h1> Key differences: </h1> <ul> <li>Supported Databases: Debezium supports PostgreSQL, MongoDB, SQL Server, and MySQL, whereas Maxwell is strictly for MySQL.</li> <li>Architecture: Debezium is built for distributed, fault-tolerant environments. Maxwell is a simpler, single-process tool.</li> <li>Data Format: Debezium provides richer schema information, while Maxwell produces simpler, flatter JSON messages.</li> <li>Offset Management: Debezium uses Kafka Connect's internal offsets, whereas Maxwell manages its own within a specific database table.</li> </ul> <h1> Which one to pick? </h1> <blockquote> <p>If we need a quick, simple way to get MySQL data into a stream without managing a complex infrastructure, Maxwell is the better choice. </p> <p>If we are building a long-term, cross-database data platform and already use Kafka, Debezium is the standard. </p> </blockquote> <h1> Use-case tips: </h1> <h2> Maxwell: </h2> <ul> <li>Separate schema storage: in high-traffic env, avoid running maxwell's own DB on the same RDS instance as your primary production database.Because frequent DDL changes or large schema snapshots can create unnecessary I/O contention on your master node.</li> <li>Use filtering: Only capture the specific tables your downstream consumers need - <code>--include_dbs</code> or <code>--exclude_tables</code> Because, it reduces the CPU load on the daemon and minimizes the network "noise" sent to message broker (like Kafka or Kinesis)</li> </ul> <h2> Debezium: </h2> <ul> <li>Snapshot from replica: configure the connector to perform its initial snapshot on a read-only replica rather than the primary writer. Because it prevents the snapshot's long-running SELECT queries from locking tables or exhausting the primary database's connection pool during peak hours.</li> <li>Optimize producer config: for high-volume pipelines, manually tune Kafka producer overrides like <code>producer.override.batch.size</code> (e.g., to 1MB) and <code>producer.override.linger.ms</code> (e.g., to 50ms). This drastically improves throughput by batching smaller row changes into fewer network requests, reducing the overhead on your Kafka brokers.</li> </ul> <p>There is no best tool, use CDC based on your need, your app!<br> Utilize config, optimize based on load and reduce overhead by small effective changes.</p> <p>Happy capturing ~ Happy datafying :)</p> dataengineering tooling debezium maxwell