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I have been doing more digging and for metadata, it looks like the dbt Cloud documentation outlines a potential, useful param for https://docs.dagster.io/_apidocs/libraries/dagster-dbt#assets-dbt-cloud:
However, trying to use this as well as looking at the source code, this param does not look to be implemented. I also found a GitHub issue that notes exactly this as well: |
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Hello!
I'm currently scoping out Dagster for my team. I know Dagster makes the most sense when integrated with dbt-core and that the dbt-core integration has more features, is non-experimental, and has more flexibility. However, my organization just signed up for enterprise this year and has been enjoying CICD/dbt Explore and other quality of life features. In addition, many of our users use the dbt Cloud IDE which is why I'm limited to the dbt Cloud integration.
Having said that, I've been able to get started with and have used
load_assets_from_dbt_cloud_job
to connect our dbt Cloud assets to other parts of our stack and am able to materialize through Dagster. However, there are two big things that are not present in the integration with dbt Cloud:Because of this, it looks like Dagster may not work for us and our constraints. Is there a future feature roadmap that can implement the addition of these important asset_checks / metadata in the dbt Cloud integration?
Are there any workarounds here? or is the only way forward currently to migrate off dbt Cloud to dbt Core?
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