I don't think you shouldn't make the capability available, but I wish more people would stop to ask, "do I need this?" Since I do data analysis and machine lea

I don't think you shouldn't make the capability available, but I wish more people would stop to ask, "do I need this?" Since I do data analysis and machine learning (sometimes), a common one I see is people using "big-data analytics" stacks when they don't have anything remotely in the range of a big-data problem. Everyone really seems to want to have a big-data problem, but then it turns out they have like, single-digit gigabytes of data (or less). And they want Hadoop on top of some infrastructure to scale a fleet of AWS VMs, so they can plot some basic analytics charts on a few gigs of data? They would be better served by the revolutionary new big-data solution "R on a laptop". But somehow many people have convinced themselves they really need Hadoop on AWS. Though I haven't used it yet, BigQuery does seem interesting in comparison, because it at least seems like it doesn't hurt you much. The Hadoop-on-VMs thing is objectionable rather than merely unnecessary, because you get this complex, over-architected system for what is not a complex problem. BigQuery at least seems like, at worst you end up with basically a cloud-hosted RDBMS with scaling features you don't need, which isn't the end of the world as long as the pricing works for you. edit: Just to clarify, I'm not the person you were replying to, just someone who also has opinions on this. :)