Announcing Kafka Connect: Building large-scale low-latency data pipelines | Confluent

What this post added

This post introduces Kafka Connect, a new feature in Apache Kafka 0.9+ designed to simplify the building and management of stream data pipelines. It addresses common challenges in data integration, such as schema management, fault tolerance, parallelism, latency, delivery semantics, and operations. Kafka Connect provides a framework for Sources (importing data into Kafka) and Sinks (exporting data from Kafka), abstracting away these complexities. It leverages Kafka's built-in capabilities for parallelism, offset management, and group management to enable scalable and resilient data integration. The post highlights the framework's design for large-scale data integration, its parallelism model based on stream partitions, and its integration with Kafka's offset and group management mechanisms. It also discusses delivery guarantees (at-least-once, at-most-once) and its agnostic approach to process deployment and resource management.