So true! I would 'up' it twice if I could. Too many startups go over to Hadoop/no-sql solutions before the overhead is indeed justified. SQL for most of the d

So true! I would 'up' it twice if I could. Too many startups go over to Hadoop/no-sql solutions before the overhead is indeed justified. SQL for most of the data with a bit of Redis and numpy for background processing will take you much further than most people assume. It's fun to think you must have DynamoDB, Hadoop or a Cassandra backend, but in real life -- you better invest in more features (or analytics!)