There are plenty of discussions around NoSQL databases around and a lot of them are about data logging in the social media section. The problem I'm trying to solve falls more into the scientific computing section, where I have several 1000s of billions of pieces of information that I want to query with different a different criteria for each query. All data is at least a 4 dimensional space, which means I have a 3D location (x,y,z) and a time component - plus the value and unit. Say temperature at xyz and 10min in degree Celcius. A typical query result may contain several million results ... I have read about pretty much all NoSQL solutions being exceptionally fast for inserting records, but when it comes to querying them it's a different story. I'm leaning towards MongoDB for the implementation and platform for developing the necessary code since it is more closely related to the current solution using MySQL. Happy to be proven wrong though when it comes to the choice of the NoSQL solution.