how do materialized views compare to secondary index for read performance

refference:http://www.doanduyhai.com/blog/?p=1930

Now, how do materialized views compare to secondary index for read performance ?
(reffer to http://www.doanduyhai.com/blog/?p=1930)
Depending on the implementation of your secondary index, the read performance may vary. If the implementation performs a scatter-gather operation, the read performance will be closely bound to the number of nodes in the datacenter/cluster.

Even with a smart implementation of secondary index like SASI that does not scan all the nodes, a read operation always consist of 2 different read paths hitting disk:

read the index on disk to find relevant primary keys
read the source data from C*
That being said, it’s pretty obvious that materialized views will give you better read performance since the read is straight-forward and done in 1 step. The idea is that you pay the cost at write time for a gain at read time.

Still, materialized views loose against advanced secondary index implementation in term of querying because only exact match is allowed, ranged scans (give me user where country is between ‘UK’ and ‘US’) will ruin your read performance.