Deliver trusted data with dbt

dbt Labs provides a data transformation platform that enables data teams to build and deploy reliable data pipelines using SQL. It focuses on empowering data practitioners to create and disseminate organizational knowledge, ensuring data is trusted, governed, and properly documented for analytics and AI development.

dbt combines SQL-based development with real-time validation and stateful intelligence, allowing users to build, test, and deploy AI-ready data pipelines quickly and confidently. Key features include interactive lineage across projects and columns, automatic refactoring of models and columns, and interoperability with various data platforms and IDEs.

The platform offers features like dbt Catalog for improved governance and trusted data, dbt Semantic Layer for self-service analysis, and dbt Copilot for code generation. It also includes cost optimization features and stateful intelligence to reduce warehouse spend. dbt integrates with popular cloud data platforms like Snowflake, BigQuery, Databricks, and Amazon Redshift, as well as business intelligence tools like Tableau and Hex.

dbt is designed for data teams looking to standardize data transformation, improve data quality, and accelerate analytics and AI initiatives. It helps teams spot inefficiencies, automate routine work, and use compute smarter, cutting costs and speeding delivery. The dbt Community provides a gateway to best practices, innovation, and collaboration with data leaders and AI practitioners.