I work regularly with Hadoop users and I there is rarely talks of "shortcomings" of Hadoop. More often than not, rather than Hadoop not giving enough to the use

I work regularly with Hadoop users and I there is rarely talks of "shortcomings" of Hadoop. More often than not, rather than Hadoop not giving enough to the user, the user is not giving enough to Hadoop. Once users start understanding the power of the platform, they start to do some really incredible things. Hive and Pig are just applications that interface with Hadoop, although they could be classified as "SQL" or "PigLatin" to Java Map/Reduce, they are also more than that. For example, Hive has a shared metastore so you can treat Hadoop kind of like a shared RDBMS that allows you to map schemas after the data has already been transformed. Most the people I talk to, especially on here, are still pretty wet behind the ears when it comes to Hadoop. It's a very daunting technology, but I can assure you there is nothing but progress and innovation in the community.