Hi Melty Crew, I wanted to set up a toy example of a dbt-meltano-dagster combo. I used this awesome starting guide: https://medium.com/@kenokumura/how-to-orchestrate-dbt-with-dagster-in-multi-containers-on-docker-ebf0d171a3a9 and now added meltano and dagster-meltano to the Dockerfile_user_code, mounted my meltano project, and added a "load_jobs_from_meltano_project" to repo.py. Doing only dagster+meltano or dagster+dbt this way works, but together it breaks (something wrong with snowplow-tracker...), which I suspect is a version thing. To get started, which version of these packages should be compatible here? I trial-errored some combinations but got nowhere. Thanks a lot!!

Hey @Dries Beheydt 👋 The latest stable versions (Meltano 3.7, dbt 1.9) should be compatible. If they're not, let me know cause that'd be a regression.

Here is my definitions:

utilities:
  - name: dagster
    variant: quantile-development
    pip_url: git+<https://github.com/quantile-development/dagster-ext@v0.1.3> dagster==1.9.13 dagster-postgres
      dagster-dbt dbt-postgres<1.8.0 dagster-azure dagster_msteams elementary-data dagster_powerbi

Yes! starting from dagster==1.9.13 indeed worked out! Thanks so much!!