Streaming Analytics (2021)

The core idea driving the streaming analytics space is that you will often benefit from being able to act on streaming data immediately, rather than with a significant time lapse. This is largely because the kind of data that is generated continuously is almost necessarily volatile (otherwise, why generate it continuously in the first place?) and thus particularly benefits from quick action. Streaming analytics enable this by analysing data in real-time as it flows into your system, in turn allowing for faster and more informed responses to that data.

This report examines the streaming analytics space and evaluates the solutions therein.

Author/s: Daniel Howard

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