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Real-time analytics are becoming part of mainstream system design, with high-profile companies such as Facebook sharing their design and implementation processes, proving that real-time is already a reality.
However, most of these designs rest on assumptions that inherently limit the resulting systems, among t hem the idea that memory is unreliable, and that there is only one choice of database.
This paper examines the proposition that these assumptions should be challenged, and that by changing them, inherent limitations of real-time analytics systems can be eliminated.