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Why isn't differential dataflow more popular?

Differential dataflow is a library that lets you write simple dataflow programs and a) then runs them in parallel and b) efficiently updates the outputs when new inputs arrive. Compared to competition like spark and kafka streams , it can handle more complex computations and provides dramatically better throughput and…
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Databases & DataSystems & Performance2021

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Jan 22, 2021Why isn't differential dataflow more popular? by jamii228120

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