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I guess it depends on your particular needs. Usually you'd do rollup when loading to druid, so you'll have aggregated data, and not all the individual records from the original source.

Yes exactly, the problem is 90% of my queries are count or sum grouped by day, week, month over differents time windows and the other 10% are just select individual records from historical data :/

You can still do that - I'd test for query performances, since you won't have rollup at ingestion time. You should still be able to get fast answers, especially with good segment sizes, etc, and if approximations are acceptable (for the counts - GROUP BY will give exact results, but can take longer. Counts are approximate by default, but you can make them exact, but again they'll take longer).