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Looks cool. I can't find any performance or benchmarks though. Anyone care to guess/ballpark what kind of write speeds single nodes might be able to handle?


There are too many "it depends" issues, especially the hardware, and not least the application architecture sitting on top of it.

There's a script in the Message DB codebase that will do some fairly rudimentary read and write performance measures for your Postgres deployment:

https://github.com/message-db/message-db/blob/master/databas...

It's run right on the database, so no network I/O or client implementation in the loop - which is inevitably non-representative of "real world" scenarios.


I got stuck looking for some perf figures too. I realise they are going to vary widely by hardware, batch size, message size etc, but it would be really useful to have a comparison against, for example, a single RabbitMQ instance.


A message store is really not a comparable pattern to a message queue. It's unlikely that the usages would be similar enough to engender a meaningful comparison. They're not as dissimilar as an apples-to-oranges comparison, but maybe an apples-to-applesauce comparison.




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