dbt
SQL transformation framework that builds tested, versioned data models inside the warehouse, with an optional semantic layer.
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About dbt
dbt is a SQL transformation framework that enables data teams to build and maintain data models inside the warehouse using software engineering practices. Developers use it to write modular, tested, and version-controlled data transformations in SQL, with capabilities for validation, lineage tracking, and automated refactoring. The tool supports multi-dialect SQL compilation and integrates with various data platforms without storing data itself. It includes features for interactive lineage visualization, column-level tracing, and stateful intelligence to optimize warehouse compute. dbt is developed by dbt-labs and released under the Apache 2.0 license.
The platform serves data analysts and engineers working on analytics and AI initiatives, helping teams improve data quality, strengthen governance, and accelerate delivery. It works with popular IDEs and integrates with various data warehouse and analytics tools, supporting both local and cloud-based development workflows.
Checked 28 October 2026.
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