No, but I think each piece of software is put in a proper context, to match what most would commonly use in that particular use case. For example, the Clickhouse benchmarks are run against typical modest cloud instances.
To be fair, the c5d.9xlarge instances are $1.728 each per hour, or $5.18 for the 3-server cluster (looks to be about $3.06/hr for reserved 1-year pricing). Even with reserved pricing, that's $26,806 a year, or 6.5X more than a $4K laptop that likely will last for years and would be bought anyway (or at least a cheaper variant, which would also run these queries nearly as quickly). Of course that's very apples-to-oranges, so another way to look at this is that OmniSci would probably see significantly better performance on a single c5d.9xlarge than what we saw on this Mac (would need to benchmark, but informally I can say that OmniSci was 2-3X faster running on CPU on my Linux workstation compared to my Mac).
Disclaimer: No disrespect to ClickHouse here, it's an amazing system that I'm sure beats out OmniSci for certain workflows.
The biggest loss for omnisci was the in-memory limits. The highest end GPUs have 32GB, while you can find CPU servers with multiple TB. As soon as you spill out of that you take a big performance hit.
