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Starburst + dbt: The New Data Stack

Blog post from Starburst

Post Details
Company
Date Published
Author
Bo Myers
Word Count
1,771
Company Posts That Month
10
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
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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