Apache Druid is a high-performance distributed analytics store for modern analytics applications. It supports ingesting millions of events per second and sub-second query processing. Druid supports various types of data sources for ingestion, including Apache Kafka. You can immediately query on stream events once they get ingested into Druid. Since Kafka provides scalable and robust data delivery while Druid supports advanced complex analysis on streams, Kafka and Druid are widely used together for BI and operational analytics use cases, which require interactivity, scalability, real-time, and performance. This talk is based on our real-world experiences building out streaming analytics stacks powering production use cases across many industries.