+1 Regards, _________________________________ *Md. Rezaul Karim*, BSc, MSc PhD Researcher, INSIGHT Centre for Data Analytics National University of Ireland, Galway IDA Business Park, Dangan, Galway, Ireland Web: http://www.reza-analytics.eu/index.html <http://139.59.184.114/index.html>
On 10 March 2017 at 12:10, Robin East <[email protected]> wrote: > I would love to know the answer to that too. > ------------------------------------------------------------ > ------------------- > Robin East > *Spark GraphX in Action* Michael Malak and Robin East > Manning Publications Co. > http://www.manning.com/books/spark-graphx-in-action > > > > > > On 9 Mar 2017, at 17:42, enzo <[email protected]> wrote: > > 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 > > >
