Transformation and Execution Tree
A synchronous transformation processes incoming rows and passes them on in the data flow one row at a time. Output is synchronous with input, meaning that it occurs at the same time. Therefore, to process a given row, the transformation does not need information about other rows in the data set. In other words, when a transform can modify the row in place so as to not change the physical layout of the result set, then it is said to be a synchronous transform. The output of a synchronous component uses the same buffer as the input and do not require data to be copied to a new buffer to complete the transformation. Reusing of the input buffer is possible because the output of a synchronous component usually contain the same number of records as the input, it means each output row has a 1:1 relationship with an input row (though you can use the redirect method to conditionally out rows to different outputs as the multicast and conditional split transformations do).
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