We were modelling individuals and contacts between them, and the cluster would constantly break with dataset sizes that should have been easily managed. There was clearly something wrong in the storage engine, because we saw insane disk space usage. Dgraph consumed 10s of TB for something that should have taken < 100 GB.
We were one of the largest installations at the time, and were working with the core development team, but they were never able to resolve the issues.
We eventually had to tell management that there was no way we'd be able to operate the thing given its disk space consumption rate, so we had to delay project delivery to rip out Dgraph and replace it with Postgres.
Surely it's better today, but I'll never use it again by choice.