I think the new UPDATE implementation is great, however its impact is limited. As a heavy CH user, our typical use case is inserting rows with some columns are missing, then backfill these columns later on (and I've seen such pattern in many places).
In my previous company (big Chinese tech), we developed a customized solution for ingesting partial columns (that's long time ago when FINAL is still a pita).
Our current solution is using aggregating merge tree with anyLast and nullable columns. UPDATE == INSERT and that's it. Imagine doing it with millions of UPDATE queries, that'll be nightmare.
First, I think the article provides false claim, the solution doesn't guarantee durability. Second, I believe good synchronous code is better than bad asynchronous code, and it's way easier to write good synchronous code than asynchronous code, especially with io_uring. Modern NVMe are fast, even with synchronous IO, enough for most applications. Before thinking about asynchronous, make sure your application use synchronous IO well.
Speaking from experience, its easy to make Postgres (for example), just trash your system usage on a lot of individual or batch inserts. The NVME drives are often extreme underutilized, and your bottleneck is the whole fsync layer.
Second, the durability is the same as fsync. The client only gets reported a success, if both wall writes have been done.
Its the same guarantee as fsync but you bypass the fsync bottleneck, what in turn allows for actually using the benefits of your NVME drives better (and shifting away the resource from the i/o blocking fsync).
Yes, it involves more management because now you need to maintain two states, instead of one with the synchronous fsync operation. But that is the thing about parallel programming, its more complex but you get a ton of benefits from it by bypassing synchronous bottlenecks.
Yet another database built on ByteKV. Back then when I was in ByteDance, all infrastructure were more or less using ByteKV for data and metadata storage.
Unfortunately we had less information about this technology because dev are in China (only thing I'm quite certain is that it's based on FoundationDB). Would be an interesting if they can write a paper about it.
I made it through to the final round of interviews for an infra position, but my interviewer (bless him) was pretty candid about a lot of the infra being developed in China and written in Chinese.