Dbt Project Structure And Best Practices Enforcement

via “dbt integration with asset lineage synchronization”

Data orchestration for ML — software-defined assets, type-checked IO, observability, modern Airflow alternative.

Unique: Dagster's dbt integration uses manifest parsing to automatically generate asset definitions with full lineage preservation, treating dbt models as first-class Dagster assets. This enables orchestration of dbt runs within larger pipelines and integration of dbt lineage with non-dbt assets, unlike dbt's native orchestration which is dbt-only.

vs others: Provides tighter dbt integration than Airflow's dbt-core operator, with automatic asset generation from manifests and native lineage merging with non-dbt assets, enabling unified data platform orchestration.