http://highscalability.com/blog/2011/6/20/35-use-cases-for-choosing-your...

The article gives a list of types and properties of the differnet nosql databases and then some criteria to help choose the right one for an application.

The previous articles listed at the start of the post

One more .Net driver  for connecting to MongoDB - NoRM - open-source library managed on GitHub.

Speciality of this project in linkage of .Net types and document model of MongoDB.

With NoRM very easy to manipulate with .Net type without necessity to copy them to/from documents for saving/resolving in/from DB like  MongoDB-CSharp Driver.

NoRM Home http://wiki.github.com/atheken/NoRM/

Sample

    var coll = (new Mongo(connString)).GetCollection<Product>();

    //create a new object to be added to the collection
    var obj = new Product();
    obj._id = ObjectId.NewObjectID();
    obj.Title = "Shoes";

    //save the object
    coll.Insert(obj);

    //find the object
    var obj2 = coll.FindOne(new { _id = obj._id}).First();

Large scale analysis solution must be able to provide very fast response time (<1sec) to some complex queries which are typically structured from a large fact table which is joined to many dimension tables and grouped-by them.

Using standard SQL databases such as MySQL InnoDB (as well as leading commercial vendors) will result in poor performance even when correct indexes are set up since in many case the database will be forced to perform unnecessary full table scans which will kill the performance if dimension tables are large.