clickbench is a toy benchmark: small dataset, very specific queries.
Benchmarking full tcp-h (not just one query like in your post) on sizable dataset (few TBs) would be very good close to real world scenario, but vendors usually avoid this.
Benchmarking full tcp-h (not just one query like in your post) on sizable dataset (few TBs) would be very good close to real world scenario, but vendors usually avoid this.
What counts as large or small definitely varies a lot depending on the context of the conversation/analysis.
MotherDuck's "Big Data is Dead" post [0] sticks in mind:
> The general feedback we got talking to folks in the industry was that 100 GB was the right order of magnitude for a data warehouse. This is where we focused a lot of our efforts in benchmarking.
Another point of reference is [1]
> [...] Umbra achieves unprecedentedly low query latencies. On small data sets, it is even faster than interpreter engines like DuckDB
> TPC-H Small Dataset = 866k tuples, sf 0.1
[0] https://motherduck.com/blog/big-data-is-dead/
[1] https://db.in.tum.de/~kersten/Tidy%20Tuples%20and%20Flying%2...
and then user discovers that DuckDB is plagued with OOMs and dramatic performance degradations when his data is slightly larger than memory.