By large, I mean in the range of 100m to 10b rows.I'm currently using both Hadoop MapReduce and Amazon RedShift. MapReduce has been a little disappointing here. Redshift works very well if the data is distributed well for the given query.Are there other technologies that I should be looking at here? If so, what are the trade offs?
What technologies are fastest at performing joins on large datasets?
bigdata;performance;map reduce;aws