The academic paper tests four obscure, non-production databases on an irrelevant benchmark (TPC-H) to provide far-fetched claims.

Way to comment on research?

> four obscure, non-production databases

I guess you wanna have a word with thousands of DuckDB users?

Also Starrocks is not really niche?

> irrelevant benchmark (TPC-H)

Which is widely used in the industry... probably despite not being perfect.

> provide far-fetched claims.

And put them out there to be disseminated by others.

Keeping and extending what works, discarding the rest.

That's how we learn.

I wish you more optimism and curiosity.

adsb.exposed has a dedicated section on F-16: https://adsb.exposed/?zoom=5&lat=43.4805&lng=-110.7608&query...

It looks like PHP is ideal.

Adding Merge Tree compaction, a la ClickHouse, should solve this, right?

That's right, compaction is the way to solve for performance over longer time ranges. This is what we have in our commercial Enterprise product.

I was surprised to see such a big jump in ClickHouse (up 7 places). Now it's higher than Spark but lower than Hive and HBase (they were trendy around the first half of 2010x).

But the demo does not work.

I tried "England is" and a few similar queries. It spends three seconds then shows that nothing is found.

I tried it once and it instantly showed no results, but then I tried it again and it returned results in <1s. Just try it with a bunch of queries, I think there's caching too so it's hard to gauge performance properly.

The blog post about the demo is from 2021 and they haven't promoted it much since. I'm surprised that they even kept it online, according to the sidebar it was ~$810/month in AWS at the time.

Yes. We should shut down this demo. We reduced the hardware to cut down our costs. Right now it runs a ludicrously small amount of hardware.