An ETL tool extracts data from sources, transforms it, and loads it into target systems. Visual interfaces connect diverse sources and support scheduled batch transfers or real-time pipelines. section 5.1.2
ETL platforms suit large-scale integration when transformation breadth and customization matter. Compared with Kafka Connect, traditional tools generally provide weaker real-time capabilities, while Kafka offers a uniform path into topics for enrichment and fan-out. section 5.1.2
Choose between approaches by weighing:
- Rich transformations and visual pipeline design favor ETL tools. section 5.1.2
- Low-latency distribution and multiple downstream consumers favor Kafka-based integration. section 5.1.2
- Complex joins, aggregations, or multi-message logic may require a streaming framework beyond basic connectors. section 5.1.2
