[MonetDB-users] time series data scaling

In a large scale time series row-store DB (Oracle), I'm accustomed to partitioning fact tables on time. This has has a couple of benefits: - since queries always include predicates on the time field, partition elimination can help a lot - when the time based partitions map one-to-one with tablespaces, removing old data is extremely fast. (when you've reached the maximum data retention period, you need to remove data as fast as you can load it). Are there any features in monetdb that would facilitate these needs (or ameliorate them)? TIA, -david