I guess it really depends on what side of the fence you are on. There is clearly a huge issue with having data locked down and not easy to shift regardless of the size. The idea you cannot freely access and conform data is a huge issue many organizations have with the RDBMS. There is also a huge issue with trying to figure out what to do with the data once it's captured. In meaning, the turnaround time to add new data sources, new models, etc can be a huge burden on everyone just as it's a huge burden to learn something new just to access data out some NoSQL system that was just implemented.