Data teams using SQL Server often wonder whether adopting dbt is worth the effort. This analysis breaks down the fundamental paradigm shifts between dbt's code-first, version-controlled approach and the traditional SQL Server development workflow. We examine trade-offs in areas like testing, documentation, dependency management, and deployment. The article provides a decision framework based on team size, project complexity, and existing infrastructure. For teams already invested in SQL Server, the migration path involves learning new concepts like models, sources, and tests, but the long-term benefits in maintainability and collaboration can be significant. We also discuss common pitfalls and how to mitigate them during the transition.
Explore the key differences between dbt and traditional SQL Server data warehouse development, and learn how to make informed migration decisions for your team.