One of the contributers here:

GEM is at the first step towards true data modeling where it makes the mappings process very accessible. For someone coming from a SQL background, mappings in Elasticsearch are interesting because of it's nature of being both a search engine and a data store suited for aggregations.

Would love it to eventually have some intelligence and heuristics built in, like recommending what data types to choose, data normalization patterns.