Re: Spark GraphaX

[Robineast <Ro...@xense.co.uk>]

GrapX is a graph analytics engine rather than a graph database. It's typical
use case is running large-scale graph algorithms like page rank , connected
components, label propagation and so on. It can be an element of complex
processing pipelines that involve other Spark components such as Data
Frames, machine learning and Spark Streaming.

If you need to store, update and query graph structures you might be better
served looking at Neo4j or Titan. If you still need the analytics capability
you can integrate Spark with the database.



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Re: Spark GraphaX

[Robineast <Ro...@xense.co.uk>]

Well it depends on exactly what algorithms are involved in Network Root Cause
analysis (not something I'm familiar with). GraphX provides a number of out
of the box algorithms like PageRank, connected components, strongly
connected components, label propagation as well as an implementation of the
Pregel framework that allows many algorithms to be quickly and succinctly
specified for parallel machine execution. 



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Robin East 
Spark GraphX in Action Michael Malak and Robin East 
Manning Publications Co. 
http://www.manning.com/books/spark-graphx-in-action

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