Real-time analytics: What do companies want from Complex Event Processor that they don't have with Spark?

Why do companies purchase a product known as Complex Event Processor (TIBCO Streambase CEP, IBM Infosphere CEP) or download Open Source (Siddhi, Esper)?

I understand why companies use real-time analytics in general to make sense of real-time data streams, but I don't understand why CEP.

"Complex event processing (CEP) uses patterns to detect composite events in streams of tuples."
CEP also joins many streams and finds patterns among the whole.

But I don't get it why use CEP and not Spark? Is there any use case you can explain this on?
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Jack McKenzieChief Executive Officer http://mybigdata.co.ukAsked:
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