Event processing vs. data-driven processing
Marco Seiriö offers a distinction between event processing and data-driven processing. Specifically, he says that if an event has an ID, then it’s true event processing; if it doesn’t, and what you’re doing looks somewhat like event processing anyway, then you’re doing data-driven processing.
He seems to believe this is an important distinction, but I’m not convinced yet. Rather, I think the essence of (complex) event/stream processing lies in its performance for certain kinds of data processing problems, some of which require super-low-latency and some of which don’t.
Maybe there’s some kind of a partition of the problem space, in which if you want event IDs you’re better off with an Apama-like rules-engine paradigm, while if you don’t need them you do better with Coral8/Streambase-style SQL. But off the top of my head, I don’t see it.
Am I missing something?
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