dbt is a subscription-based ETL tool designed for SQL users aiming to streamline data transformation processes. It facilitates collaboration among data teams by introducing features like version control, quality assurance, and documentation. With its modular approach, users can codify business logic, making it accessible for reporting, machine learning modeling, and operational workflows. The tool emphasizes the importance of treating analytics errors with the same urgency as production bugs, ensuring high-quality data management.

The platform supports a wide range of users, including small businesses, enterprises, and nonprofits. dbt integrates seamlessly with various applications such as Amazon Redshift and Google Cloud BigQuery, enhancing its functionality. It also includes built-in CI/CD features for efficient deployment across development stages. Priced starting at $50 per user per month, dbt offers extensive documentation and live training to assist users in maximizing the tool's capabilities.