What a great presentation. Thanks for the link! BTW, here's an interesting observation: if you normalize a schema to the max, applying CRDT techniques for eve

What a great presentation. Thanks for the link! BTW, here's an interesting observation: if you normalize a schema to the max, applying CRDT techniques for eventually-consistent multi-master concurrency is relatively simple, and you can do it using SQL. With PG you could have each instance publish a replication publication of an event log, and each instance could subscribe to a merged log published by any of N instances whose job is to merge those logs, and then each instance could use the merged log to apply local updates in a CRDT manner. If you normalize to the max, this works. For example, instead of having an integer field to hold a count (e.g., of items in a warehouse of some item type) you can have that many rows in a related table to represent the things being counted. Now computing the count gets a bit expensive (you have to GROUP BY and count() aggregate), but on the other hand you get to do CRDT with a boring, off-the-shelf, well-understood technology, with the same trade-offs as you'd have using a new CRDT DB technology, but with all the benefits of the old, boring technology.