We use a similar technique at Interana. Our DB is a column store, but we break things up over the time dimension to keep file sizes of individual columns reason

We use a similar technique at Interana. Our DB is a column store, but we break things up over the time dimension to keep file sizes of individual columns reasonable. One of these time buckets is essentially analogous to a single parquet file. In addition we split/sort these buckets into smaller buckets as more events are added.