Thank you for your reply.

Here are some observations from a couple of days testing:

- Setting up routing manually reduced the aggregation time about 40%!
- ... however, manual routing caused data to distribute unevenly. I assume 
we could have taken steps to improve the distribution, but we didn't 
investigate any further
- Upgrading from 1.1.0 to 1.2.0 didn't seem to improve speed nor memory 
usage, although we didn't do any accurate measurements of RAM usage
- Changing the compression value for percentiles did indeed have an effect
- Increasing number of nodes from 3 to 5 didn't seem to improve performance

Since adding additional nodes didn't seem to improve the performance, there 
seem to be a bottleneck somewhere. The result of the aggregation is very 
large (as a JSON-result, it results in about a million lines of text), so 
maybe data transfer or constructing the result can be a bottleneck?

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