Big data is quite diverse nowadays, somewhat like the cloud.

More like specific problems that might benefit from a non-standard RDBMS approach. Like social media/search robots having scaleout methods where one node may lag behind the other in return for an instantious response at the cost of ACID. If one nodes fails another may have outdated information but still available; or have a very quick response on a specific search query.