The stream processing industry has been growing rapidly over the years and it is expected to reach $50 billion in revenue by the end of 2025(1). Since the very early days of stream processing with Apache Flink, we have always held the strong belief that stream processing is a technology that will be the new paradigm in data processing, something that we see coming to fruition as more and more modern enterprises become event-driven, real-time, and software-operated. As a result, stream processing and streaming frameworks have evolved over the years to become more robust and offer increasingly better guarantees for data and computation correctness.
Looking at the history of stream processing we can see three distinguishing steps:
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