The tricky thing is that there is not going to be a single winner here. What we are seeing is data moving out of a creaky (albeit very capable given certain co

The tricky thing is that there is not going to be a single winner here. What we are seeing is data moving out of a creaky (albeit very capable given certain conditions) silo and the managing it is becoming more task-specific. Each of the databases you mention has its own strengths and weaknesses depending on what you want to get out of it, the nature of your data and access patterns, and the environment in which it will be deployed. Right now I would suggest that you just watch the space, become conversant in the various models (especially the weaknesses of each) and take each for a small test drive so that you have a basic understanding of what each particular model is capable of.