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"If there are too much nodes down from the point of view of a single node it will reply to the client with a cluster error."

This sacrifices availability. Remember, the cluster doesn't include only the servers; it also includes the clients, since ultimately the point of a database server is to provide the data to the clients upon request.

sure, my tradeoffs are clear, I sacrifice availability in every part of the net where less than M-1 nodes appears to be down in order to win: 1) consistency. 2) latency.

What I did was to stress the tradeoffs that my data model was forcing itself, as Redis handles complex aggregate data and an eventual consistent solutions sucks in this context.

So Redis Cluster users will be a fast scalable consistent solution that will start trowing errors if the network will go down badly, but that will survive if a few nodes will go bad or if there are small network problems affecting a small number of nodes. If this sounds too little available please explain me this:

We have a network with 10 web servers and 10 DB nodes.

The netsplit will split 8 nodes from all the rest, so 10 web servers will be able to talk with 2 nodes.

I wonder how this two nodes will be able to handle all the traffic usually handled by 10 nodes. Netsplit tolerance is a myth if you don't specify very very very well under what conditions.

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