Hi Soumya,

sorry for the late reply. Akka Persistence is about persisting stateful Actors 
such that they can survive infrastructure failures and recover states from the 
past. As such the storage is divided per actor and that piece is always a 
linear sequence of events. Of course the state that your actor builds can be a 
graph, but that would be transparent to the persistent storage (which just 
remembers the changes you want to apply to the graph). What I mean to say is 
that Persistence and Neo4j are orthogonal as far as I can see.

Regards,

Roland

27 jul 2014 kl. 04:38 skrev Soumya Simanta <[email protected]>:

> I'm new to Akka persistence. I like the concept and would like to evaluate it 
> for a new application I want to build. 
> 
> I've a stream of data coming in. My events will be derived from stream 
> elements in a window by time or number of elements. These events are best 
> represented as a graph. Any ideas about what's the best to way to store and 
> query these events into a graph DB using Akka persistence. Has anyone else 
> any experience with a similar use case? Currently I'm looking at Neo4J but 
> I'm open to other stores as well. 
> 
> Thanks
> -Soumya
> 
> 
> 
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Dr. Roland Kuhn
Akka Tech Lead
Typesafe – Reactive apps on the JVM.
twitter: @rolandkuhn


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