ZiliangXK

3 ms·

1.
Proton OSS V3 – Fastest Vectorized Streaming Processing SQL Engine(github.com)
3 points by ZiliangXK 11mo ago|0 comments
2.
by ZiliangXK 1y ago
any blogs i can reference and compare to other solutions, what are the key differentiations ?
3.
by ZiliangXK 1y ago
What are the real-use cases and pain points Timeplus solves in AI / ML ?
4.
by ZiliangXK 2y ago
Look like other folks are doing similar things, wondering any benchmark results so far compared with Java implementation
5.
by ZiliangXK 2y ago
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 updates) to denormalize data before the data lands in ClickHouse.
6.
by ZiliangXK 2y ago
There is always a tipping point for quite a few use cases where incremental evaluation degrades perf compared with full batch / historical query ?
7.
by ZiliangXK 2y ago
Timeplus proton OSS https://github.com/timeplus-io/proton does similar thing but with powerful historical query processing as well.
8.
by ZiliangXK 3y ago
table engines and need compile into the single binary instead of .so
9.
by ZiliangXK 3y ago
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 processing. Timeplus Proton stands on the giant shoulders (Flink is d
10.
by ZiliangXK 3y ago
(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 etc to make key use cases etc more explicit. A very typical