Stateful Multi-Stream Processing in Python with Wallaroo
Couple questions:<p>1. How does this compare to other distributed streaming systems in terms of latency, throughput, fault tolerance, and message processing guarantees?<p>2. Why Pony? I’m not super familiar with the language, does it give you any major gains?<p>3. How does this handle shared aggregations - i.e. I have one stream updating a table constantly and another that reads from the table.  This is useful as it decouples the two event streams, meaning my reading job can have better latency guarantees with the tradeoff of possible having stale data.  I didn’t see how I can link together two independently deployed streaming states, unless the idea is any stream using some state will be declared in one place.<p>4. Does this support transactional event processing, wherein my originals HTTP call is returned with a success or failure, or does it just ack the event was received, even if the event fails downstream of the source?<p>5. Are there any major, novel differences in this stream processing system versus the next that I’m not aware of?  I didn’t see anything too unique in this post.