“Hadoop is well suited for simple parallel problems but it comes up short for large-scale complex analytics. A growing number of complex analytics use cases are proving to be unworkable in Hadoop. Some examples include recommendation engines based on millions of customers and products, running massive correlations across giant arrays of genetic sequencing data and applying powerful noise reduction algorithms to finding actionable information in sensor and image data.” Marilyn Matz ( September 2, 2014 )