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any blogs i can reference and compare to other solutions, what are the key differentiations ?

What are the real-use cases and pain points Timeplus solves in AI / ML ?

Look like other folks are doing similar things, wondering any benchmark results so far compared with Java implementation

This is exactly a use case a streaming processing like Timeplus excels, which help users do 20s streaming to dynamic table joins (imagine the hand side tables are dynamically updat…

There is always a tipping point for quite a few use cases where incremental evaluation degrades perf compared with full batch / historical query ?

Timeplus proton OSS https://github.com/timeplus-io/proton does similar thing but with powerful historical query processing as well.

table engines and need compile into the single binary instead of .so

Flink is used quite a lot in prod in global and there are so many gems in it as well regarding streaming processing and it is still probably state of the art in streaming processin…

(PS I am one of the contributors of Timeplus Proton. What I said could be biased.) Thanks for the feedbacks and they totally make sense. We will definitely work on the README, FAQ …