Are there integration with dbt features exclusive to Cloud and not available on OS version ?

We provide integration with dbt Cloud, allowing you to run dbt Cloud jobs as part of your data pipeline in Dagster. You can schedule them to run as a step in a larger pipeline and manage them as a data asset. This integration is facilitated through the

dagster-dbt

library, which you can install using

pip install dagster-dbt

. The documentation provides an example of how to use this integration. However, there are certain features exclusive to dbt Cloud that you might be using, such as a lightweight scheduler, a hosted IDE, and a documentation site. While Dagster provides robust orchestration capabilities, some of these dbt Cloud-specific features are not replicated within the open-source version of Dagster. Instead, we offer guidance on how you can use other tools in the community and ecosystem to replace these functionalities if you decide to migrate off dbt Cloud. For a more detailed comparison of dbt Cloud and Dagster, including which features are available in each, you can refer to the summary sheet provided in the documentation. This will help you understand the differences and make an informed decision about which tool to use for orchestrating your dbt projects.

@Scout What dbt feature is exclusive to Dagster Cloud and unavailable on OS version ?

The documentation does not explicitly list any dbt features that are exclusive to Dagster Cloud and not available in the open-source (OS) version of Dagster. Dagster's integration with dbt is designed to work with both Dagster Cloud and the open-source version of Dagster, allowing you to run dbt Cloud jobs as part of your data pipelines. However, Dagster Cloud may offer additional conveniences and managed services that enhance the experience of using dbt with Dagster, such as automatic redeployment of projects upon merging pull requests, branch deployments, and the ability to set up notifications for pipeline events. These features are part of the managed service offering of Dagster Cloud and are aimed at improving the developer experience and operational aspects of running data pipelines. For specific dbt features that are exclusive to Dagster Cloud, it would be best to refer to the latest documentation or reach out to the Dagster team for the most up-to-date information, as the feature set can evolve over time.