I am a bit confused by the current roadmap for graph and graph analytics in Apache Spark.
I understand that we have had for some time two libraries (the following is my understanding - please amend as appropriate!): . GraphX, part of Spark project. This library is based on RDD and it is only accessible via Scala. It doesn’t look that this library has been enhanced recently. . GraphFrames, independent (at the moment?) library for Spark. This library is based on Spark DataFrames and accessible by Scala & Python. Last commit on GitHub was 2 months ago. GraphFrames cam about with the promise at some point to be integrated in Apache Spark. I can see other projects coming up with interesting libraries and ideas (e.g. Graphulo on Accumulo, a new project with the goal of implementing the GraphBlas building blocks for graph algorithms on top of Accumulo). Where is Apache Spark going? Where are graph libraries in the roadmap? Thanks for any clarity brought to this matter. Enzo
