I figured the name was a pun on differential dataflow, and the readme seems to agree. Differential dataflow is a framework for doing "dynamic" computations by m

I figured the name was a pun on differential dataflow, and the readme seems to agree. Differential dataflow is a framework for doing "dynamic" computations by modelling them as dataflow with diffs of values rather than values flowing between nodes. The main user, materialize, has bags of tuples on most nodes and diffs are then tulles and the change to their counts. Differential data flow has a system called timely dataflow at its core and timely dataflow sends timestamp-like metadata with values to allow loops and for the output of the dynamic computation to be internally consistent