Kafka Connect is a framework for streaming data between Kafka and external systems using pre-built or custom connectors, without needing to write raw producer or consumer code for every integration.
Key Points: • Source connectors import data from external systems (databases, file systems, APIs) into Kafka topics. • Sink connectors export data from Kafka topics into external systems such as data warehouses, search indexes, or object storage. • Connect can run standalone for simple, single-process setups or distributed for scalability and fault tolerance across multiple worker nodes. • Connectors are defined declaratively via configuration (JSON or properties), which makes integrations easy to version and automate. • Connect handles offset tracking, retries, and (via Single Message Transforms) lightweight in-flight data transformations.
Example: A team wanting to keep an Elasticsearch index in sync with data flowing through Kafka can deploy the Elasticsearch sink connector with just a configuration file, avoiding the need to write and operate a custom consumer application.
Interview Tip: A concise interview answer is:
"Kafka Connect is a configuration-driven framework for moving data in and out of Kafka using source and sink connectors, and it's valuable because it turns most integrations into a config file rather than custom code, while also giving you scalability and fault tolerance for free when run in distributed mode."