JDBC connector polls source databases for new or changed data based on update timestamp column. You can leverage Confluent’s JDBC or Debezium CDC connectors to integrate Kafka with your database and easily stream your data into Confluent. One of the popular use cases for Kafka Connect is database change data capture. It is driven purely by configuration files and therefore provides an easy integration point for developers. Kafka Connect is configuration-driven, meaning that you don’t need to write any code to use it. Kafka Connect provides scalable and resilient integration for Kafka with other systems, both sending to and receiving data from them. The Kafka Connect API is a core component of Apache Kafka, introduced in version 0.9. Since the changes are batched between the pull requests, there will be a lag before the target systems learn about these changes. The disadvantage of the pull approach is that target systems won’t be immediately notified if the data changes. Just like in the push method, a messaging system is needed between the source and target systems to ensure that the changed data isn’t lost when the target systems are unavailable. It is the target systems’ responsibility to continuously poll the source database to retrieve the changes and take the right actions on them. Pull: In this method, the source database’s job is lighter than in the push method, since it only logs the data changes in a column on each table. To remedy that, a messaging system is typically implemented between source and target systems so that changes aren’t lost until they are committed to their final destinations. ![]() The downside is that changed data will be lost if the target systems are unreachable or offline. The advantage of this method is that target systems will be updated with the latest data in near real time. It implements logic and processes to capture changes in the database, then sends those updates to target systems so they can take appropriate action. Push: In this approach, the source database does the heavy lifting.
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