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I skimmed the paper expecting to find a comparison to HyperLogLog, but didn’t find one - am I missing something?


A hyperLogLog is for counting distinct elements. This and Bloom filters are more about checking whether an element has been seen before; a very different use case.


Cuckoo filter is the one I thought it would be compared to since I see mentioned on HN a lot: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

And the title seems to be a reference to it too, "Cuckoo Filters, Practically Better Than Bloom"


The paper has a great figure where they illustrate areas of the overhead vs false positive trade-off space where each filter type performs best. Cuckoo filters make an appearance there


People: no need to downvote someone for asking a question.




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