No, this is pretty wrong. Spark is not, in general, a real-time anything. Spark Streaming is a near-real-time streaming framework, but it is not something you can build models with. Spark MLlib / ML are offline / batch. Not sure what you mean by Hadoop engine, but Spark does not build on MapReduce, if that's what you mean.
The "classic" Mahout code (<= 0.9) is definitely deprecated. The "new" Mahout is not. It has a fairly different new recommender system called Samsara. It has Scala APIs. In fact, it uses Spark. I think you're somehow talking about the "classic" Mahout code here only. On Mon, Oct 19, 2015 at 2:38 PM, Fei Shan <shanfeishan...@gmail.com> wrote: > Spark is a in memory , near realtime Machine Learning frameowork , has > scala and java interface > Mahout is an offline Machine Learning framework, no scala apis > > they both built on the HDFS and Hadoop engine > > Spark has an ecosystem like Hadoop > Mahout is part of of Hadoop ecosystem > > Spark could beat Mahout on processing speed > and concise programming APIs > > for online data anaysis , Spark is a better choice. > for offline data analysis, both fits well. > > > > On Mon, Oct 19, 2015 at 9:14 PM, Prasad Priyadarshana Fernando < > bpp...@gmail.com> wrote: > >> Hi, >> >> If I have used Mahout for my recommendation application, should I migrate >> into Spark MLib technology? Is the mahout still supported and migrated? >> >> Thanks >> >> *Prasad Priyadarshana Fernando <http://www.linkedin.com/in/prasadfernando >> >* >> Mobile: +1 330 283 5827 >>
