<ul data-eligibleForWebStory="false"><li>Apache Kafka, Spark, and Flink are key tools for building a real-time clickstream analytics platform.</li><li>Kafka is a distributed messaging platform designed for high-throughput event ingestion, serving as the core of the analytics pipeline.</li><li>Spark supports both batch and streaming data with a flexible engine, while Flink offers low-latency, high-throughput processing for stream data.</li><li>Understanding the strengths and limitations of Kafka, Spark, and Flink helps in selecting the right tool based on business latency requirements.</li></ul>

Inside the Engine Room: Kafka, Spark, and Flink for Clickstream at Scale

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