Given this is targeted at replication of postgres nodes, perhaps the nodes are deployed across different regions of the globe.

By using active-active replication, all the participating nodes are capable of accepting writes, which simplifies the deployment and querying of postgres (you can read and write to your region-local postgres node).

Now that doesn't mean that all the reads and writes will be on conflicting data. Take the regional example, perhaps the majority of the writes affecting one region's data are made _in that region_. In this case, the region local postgres would be performing all the conflict resolution locally, and sharing the updates with the other nodes.

The reason this simplifies things, is that you can treat all your postgres connections as-if they are just a single postgres. Writes are fast, because they are accepted in the local region, and reads are replicated without you having to have a dedicated read-replica.

Ofc you're still going to have to design around the conflict resolution (i.e. writes for the same data issued against different instances), and the possibility of stale reads as the data is replicated cross-node. But for some applications, this design might be a significant benefit, even with the extra things you need to do.

For someone who has these requirements out of the gate, another datastore might be better. But if someone is already deeply tied to Postgres and perhaps doing their own half assed version of this, this option could be great.

Ideal? Not entirely but it should still give most query benefits of regular SQL and allows one to to benefit from good indexes (the proper indexes of an SQL database will also help contain the costs of an updated datamodel).

I think this is more interesting for someone building something social media like perhaps rather than anything involving accounting.

In principle you could use CRDTs to end up with a "not quite random" outcome that simply takes the conflict into account - it doesn't really attempt to "resolve" it. That's quite good for some cases.