Starburst + dbt: The New Data Stack
Blog post from Starburst
Starburst and dbt are presented as complementary technologies that form a powerful data stack, enhancing the efficiency and adaptability of modern analytics engineering by combining Starburst's universal data access and processing capabilities with dbt's transformation and orchestration framework. Starburst acts as a versatile query engine that connects to various data sources, enabling centralized access and governance through role-based access control, while dbt provides structure to SQL-based workflows by applying software development best practices like modularity and version control. Together, they facilitate a streamlined analytics workflow, supporting real-time analytics, business intelligence, and AI workloads by allowing teams to manage complex data transformations as code. This combination offers a flexible, scalable, and open data stack that separates compute from logic, ensuring efficient, governed transformations and enabling a consistent approach to developing and deploying analytics logic across diverse data environments. By unifying their functionalities, Starburst and dbt offer a cost-effective alternative to other data architectures, promoting transparency, compliance, and agility in data-driven decision-making.