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Jeff from PipelineDB here. We are also rolling out a SaaS product based on PipelineDB called Stride (stride.io) that enables this type of computation via an API with little to no overhead.

That is definitely along the lines of what I'm looking for..

the esper stuff was on my radar, but something that works with existing postgresql tools is a huge plus.

PipelineDB can scale out to multiple nodes (for $).

Is there a reference regarding the number of nodes that can be deployed in the cluster, and are feasible to maintain? From the docs, I gather that "[a]ll DDL/non-stream DML statements are executed in a distributed transaction on all nodes in the cluster and committed via two-phase commit." [1]

Doesn't that get in the way of low latency and availability?

[1] http://enterprise.pipelinedb.com/docs/two-phase.html#two-pha...