Apache Storm and Apache Flink are both distributed stream processing frameworks, but they have some key differences in terms of architecture, programming models, and features. Here's a comparison between Apache Storm and Apache Flink: 1. **Programming Model:** - **Apache Storm:** Storm provides a low-level, event-driven programming model using spouts and bolts. Spouts are sources of data, and bolts are the processing units that apply transformations or analyses to the data. It is designed for building complex, directed acyclic graphs (DAGs) of processing stages. - **Apache Flink:** Flink offers a more high-level and expressive API for stream processing. Flink's API includes a functional programming style using operations like map, flatMap, filter, and windowing operations, making it easier to express complex data transformations. 2. **Event Time Processing:** - **Apache Storm:** Initially, Storm had challenges in handling event ...
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