> It lowers coupling between teams.
Yes, but you don't need microservices to do that. You can just lower the coupling between the teams working on your monolith using the means of abstraction of the language is written in.
> If my team is responsible for microservice A then I have no dependency on the team working on microservice B.
How is that different from the team responsible for Java package A having no dependency on the team working on Java package B? Or whatever language you happen to use.
> Microservice A writes to its own database. There are no migration dependencies, etc. It's a distributed system. You have to accept that one microservice could be using mongodb, another postgresql, another mssql.
Nothing is stopping you from connecting to multiple databases from the same monolith either.
>You're typically communicating through APIs, one microservice is not reading directly from the database of another microservice.
You can (and should) build well defined APIs between modules in your monolith too. And it's faster than having to keep serializing and deserializing everything all the time.
>Materializing all this crap when you want to do analytics is where the problem comes in as now you are forced to construct some unified data model.
Why do you think you need to unify your data model in a monolith? If you think it's the wrong strategy for your problem all you have to do is not do it.