Consider the update_order_item_quantity event in a classic event sourced systems. It's not possible to guarantee that two waiters dispatching two such events at same time when current quantity is 1 would not cause the quantity to become negative/invalid.
If the data store allowed for mutability and produced an event log it's easy:
Instead of dispatching the update_order_item_quantity you would update the order document specifying the current version. In the previous example second request would fail since it specified a stale version_id. And you can get the auditability benefits of classic event sourcing system as well because you have versions and an event log.
This kind of architecture is trivial to implement with CouchDB and easier to maintain than kafka. Pity it's impossible to find managed hosting for CouchDB outside of IBM.
When you construct your own event system you are constructing a DB with your own primitives (deposit, withdraw, transfer, apply monthly interest...).
You have to figure out your transaction semantics. For example, how to reject invalid events.
Agreed, I just wish apart from WAL they also had versioning as first class and their update api required clients to pass the version they have "last seen" to prevent inconsistencies.
And DBs are not really CQRS because the events are artificial and don't have business data that people are interested in keeping.
Without preemptive defensive coding in your aggregates (whatever you call them) this can quickly blow up in your face.