One of the nice features of CouchDB is that the views are incrementally updated, ideal if you have a large dataset that changes frequently with little changes a

One of the nice features of CouchDB is that the views are incrementally updated, ideal if you have a large dataset that changes frequently with little changes and you want frequently get the most up to date transformed data. Looking into Riak, I am under the impression there is some caching done on parts of their map reduce system, but I couldn't really find a lot of advice on the performance characteristics of frequently running a map reduce over a large, slowly-changing dataset. Does anyone else have experience using Riak for this kind of thing?