Apache Kafka and Apache Druid have seen significant adoption as foundational technologies for data streaming and real-time analytics, respectively, with Kafka facilitating large-scale event delivery and Druid enabling high-concurrency subsecond queries that combine streaming and historical data. Together, they provide a robust solution for enterprises needing real-time analytics, such as Netflix, Walmart, and Reddit, with Druid offering built-in ingestion for Kafka and ensuring exactly-once event processing. While ksqlDB is a popular choice for stream processing, it often complements Druid for deeper data exploration and historical context analysis. Organizations benefit from Druid's ability to handle millions of events per second, leveraging its integration with Kafka-compatible platforms, and solutions like Imply Polaris enhance the ease of implementing these technologies.