Re: Spark GraphaX
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. - Robin East Spark GraphX in Action Michael Malak and Robin East Manning Publications Co. http://www.manning.com/books/spark-graphx-in-action -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-GraphaX-tp24408p25011.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Spark GraphaX
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. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-GraphaX-tp24408p24411.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org