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.
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.