Don't mock. Test production code, maybe with faked storage.
Mocks usually over-specify implementations by setting up expectations of a specific implementation conversation rather than an outcome. They're painful to debug after refactoring implementation - they end up write-only - and they generally inhibit refactoring of the mocked API - often mocked instances of APIs outnumber production invocations.
I try to encourage people to replace control flow with data flow where possible; messages, command objects rather than method calls; iterators, streams and consumers composed together, rather than loops. Data flow can normally be trivially redirected into a container, and if the data objects are simple inert immutable tuples, they're trivial to construct as inputs or assert against on outputs.
Fakes are good too, better than mocks in most situations, since they are easier to refactor.
Although, IME, integration tests, while slow and often brittle (especially if you have any async components and define failure conditions in terms of timeouts), have a significant upside in permitting large factoring while still being able to test a substantial amount of end result functionality (i.e. the stuff that matters, not implementation details).
Fake: A replacement module that behaves like a production module, but with certain simplifications, for example in-process vs. using rpcs, or simply cleaning up the filesystem after usage. For example, https://github.com/tk0miya/testing.postgresql. "automatically setups a postgresql instance in a temporary directory, and destroys it after testing".
Furthermore, these are external dependencies that can't be run in-process. If a dependency can be run in-process (aka library), there is no justification to ever mock it. I've even seen codebases that mock their own class B in order to test class A. Run the production code already. Ban mocking libraries.
Unit testing with mocks is another form. One does not replace the other.