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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 4 | 4,334 | 965 | 217 | -7% |
| Data Pipeline | 3 | 564 | 156 | 67 | +17% |
| Observability | 1 | 1,883 | 347 | 119 | -9% |
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