Speed, simplicity, cost savings: Experience the dbt Fusion engine

The dbt Fusion engine, a comprehensive rewrite of the dbt engine in Rust, addresses critical challenges faced by data teams, such as improving data quality, velocity, and cost management. By deeply understanding SQL and introducing state management, Fusion offers significant speed and cost-saving advantages over the original Python-based dbt Core. It provides real-time feedback during development, enhancing the developer experience by catching SQL errors instantly and optimizing workflows. The engine's state-aware orchestration and advanced configurations enable substantial cost reductions by processing only necessary data updates. Fusion's SQL comprehension facilitates AI-assisted development and platform-independent data workloads, promoting vendor flexibility. Real-world applications, such as at DPG Media, demonstrate Fusion's benefits in streamlining data processes and improving developer productivity. Currently in preview, the Fusion engine is available for local installation and integration with existing dbt projects, paving the way for more efficient and reliable analytics engineering.

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