Don’t use Hadoop - your data isn’t that big - Chris Stucchio
▻http://www.chrisstucchio.com/blog/2013/hadoop_hatred.html
In addition to being more difficult to code for, Hadoop will also nearly always be slower than the simpler alternatives. SQL queries can be made very fast by the judicious use of indexes - to compute a join, PostgreSQL will simply look at an index (if present) and look up the exact key that is needed. Hadoop requires a full table scan, followed by re-sorting the entire table. The sorting can be made faster by sharding across multiple machines, but on the other hand you are still required to stream data across multiple machines. In the case of processing binary blobs, Hadoop will require repeated trips to the namenode in order to find and process data. A simple python script will require repeated trips to the filesystem.
