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frankmcsherry/differential-dataflow

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An implementation of differential dataflow using timely dataflow on Rust.

8 mentions on Hacker News by 4 people: 1 story, 7 comments · first 2015-06-16 · latest 2023-03-07

Mentions per year 8 mentions · busiest year 2015 (3)
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  1. …over the entire data set every time you want an updated answer, it uses Differential Dataflow < https://github.com/frankmcsherry/differential-dataflow > to efficiently(^1) calculate the new results by updating the results of the previous…
  2. …area right now, I am envious of anybody writing streaming applications in five years time! 0: https://github.com/frankmcsherry/differential-dataflow 1: https://materialize.io/
  3. …event sourcing architectures trivial and extremely productive. The closest we've come seems to be: https://github.com/frankmcsherry/differential-dataflow Lots of very active CS research in this area though.
  4. Shameless plug for something that does all of these things (perhaps not exactly as you want, but ..) https://github.com/frankmcsherry/differential-dataflow
  5. …much easier to parallelize (because of the independence) and much easier to incrementalize.[0] [0]: https://github.com/frankmcsherry/differential-dataflow
    comment by frankmcsherry · 2015-09-21 · in An introduction to timely dataflow, part 2
  6. You can contribute to: https://github.com/frankmcsherry/timely-dataflow https://github.com/frankmcsherry/differential-dataflow Or, just tell your friends. :) Better yet, write some python / pandas / dataframes / whatever_the_cool_kids_need…
    comment by frankmcsherry · 2015-06-18 · in Redis re-implemented in Rust
  7. Shameless self-promotion for big data in Rust: https://github.com/frankmcsherry/timely-dataflow https://github.com/frankmcsherry/differential-dataflow Nothing much useful to contribute, except that they mostly work, are largely unsafe-free…
    comment by frankmcsherry · 2015-06-16 · in Go vs. Rust: Productivity vs. Performance (2014)