The simple way to get featured on big data blog these days seem to be  Build something that does 1 thing super well but nothing else Benchmark it against Hadoop Publish stats showing that it’s 100x faster than Hadoop $$$  Spark claims their 100x faster than Hadoop and there’s a lot of stats showing Redshift is 10x faster than Hadoop.

Erik Bernhardsson

A critique of the trend where new big data tools benchmark themselves against Hadoop MapReduce and claim massive speed improvements. The author argues these comparisons are misleading because Hadoop and tools like Spark or Redshift serve fundamentally different use cases — Hadoop trades speed for horizontal scalability, flexibility, and generality. Comparing them on raw speed is like comparing Tokyo Cabinet to MySQL.

Stuff that bothers me: “100x faster than Hadoop” · Erik Bernhardsson