dbt Labs Expands dbt Fusion Engine Ecosystem with Microsoft Fabric Integration
Fusion integration will enable faster, more governed data transformation for analytics and AI workloads
"The speed and complexity of modern analytics and AI projects demand that teams can transform and serve data seamlessly across their stack," said
Built on Rust and equipped with deep SQL comprehension, the dbt Fusion engine is a monumental evolution of the technology that powers dbt. It delivers a significantly enhanced developer experience, all while empowering organizations to operate with the highest quality, context-rich data at scale. With parse times up to 30x faster than dbt Core, Fusion executes large dbt projects in milliseconds instead of minutes. Bringing Fusion into Data Factory will allow teams to seamlessly author, test, and deploy dbt models directly in Fabric, with no Command Line Interface (CLI) setup and no external orchestration. Enterprise security controls via Fabric are automatically applied to every transformation, delivering governance at scale.
"With Microsoft Fabric, teams are building the data products required to deliver trustworthy AI to their organizations," said
Announced today at Microsoft Ignite 2025, dbt job in Microsoft Fabric is available now as public preview. The initial integration uses dbt Core and will be expanded to include the dbt Fusion engine in 2026.
About dbt Labs
Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 80,000 data teams use dbt, including those at Siemens, Roche and Condé Nast.
Learn more at getdbt.com, and follow dbt Labs on LinkedIn, X, Instagram, and YouTube.
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SOURCE dbt Labs
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