Building a Streaming Analytics Stack with Apache Kafka and Druid | Confluent

This post introduces a streaming analytics stack by combining Apache Kafka for high-throughput event delivery with Druid for real-time analytical queries and visualization. It details the setup of both Kafka and Druid, loading Wikipedia edits data, and visualizing it using Pivot. The architecture leverages Kafka as a central repository for buffering events before they are consumed by Druid's real-time workers, enabling event replayability and delivery to other systems.