He makes mention of 2,300 Datomic databases. Can anyone shed some light on how a company maintains (or requires?)... 2,300 databases? What business needs lead to something like this? What kind of reporting pipeline possibly could pull so many dbs with cross concerns together under one roof?
Let’s say the company has four databases and 500 technical employees. That could get you to 2k personal development instances. Take your non-development instances and multiple for failover, blue-green deployments, multiple data centers. It doesn’t necessarily sound nice but it’s conceivable.
This is great! Languages need strong laser-focused vision to avoid becoming a soup of ideas.