New to "current data" processing and just trying to get my head around the two technologies:I understand streamInsight is for streaming data processing. It seams In-memory OLTP tried to solve some of the similar problems that was solved by steamInsight. For example If I wanted to analyze a stream of structured data like stock market quotes, isn't it possible to create in-memory tables for the current 5 minutes or ten minutes or whatever x-minutes and push back the "old" data to the disk tables to keep the current in-memory table small and manageable. My usual sql queries can be applied to both disk and in-memory tables. If that's the case, then what's the advantage in using steamInsight?
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