dbt Fusion Is Now Available on Snowflake

Snowflake now supports dbt Fusion as a selectable version on dbt Projects, designed to improve compilation times for many builds, particularly as project complexity increases. Switching versions is just a toggle — no project reconfiguration needed.

Fusion is one part of a larger set of improvements across our native support in dbt Projects with updates across major areas including platform, developer experience, orchestration and CI/CD to make building and operating dbt projects on Snowflake considerably more capable. Here's what's new.

dbt Fusion: Faster compilation, no extra cost

dbt Fusion is now available as a version on Snowflake's dbt Projects. Fusion is designed to improve compilation times for many builds, particularly as project complexity increases, and doesn't require migration overhead.

Trying it is simple: A version toggle in Workspaces lets you move between dbt versions without changing your project configuration. No new pricing tier or contract changes are generally required for existing dbt Projects. If you're already using dbt Projects on Snowflake, Fusion is available to you today. If you want to try it, just create a project or move an existing one into Snowflake.

Platform: Broader version support

Snowflake Workspaces and deployed dbt project objects now support dbt Core versions 1.9.4, 1.10.15 and dbt Fusion 2.0.0-preview, available today in Snowflake CLI 3.15.0.

Developer experience: Build in your IDE or your browser

Snowflake meets you where you work with developer workflows and AI coding agents in your favorite IDE or natively on Snowflake.

Orchestration: Native Snowflake Tasks and Airflow

You can now use native Snowflake Tasks to run EXECUTE DBT PROJECT, bringing dbt execution into the same orchestration layer you use for the rest of your Snowflake workloads. Create and manage schedules directly from the object details page or from a Workspace. Standard Task capabilities apply: Task graphs, dependency management and alerting all work out of the box.

Running Airflow? You can create pipelines to execute dbt project objects and use Cortex Code to author and edit those pipelines without switching tools.

CI/CD: Simpler auth and tighter integrations

Snowflake CLI remains the recommended path for deploying and executing dbt project objects in external CI/CD pipelines. Several capabilities are now generally available:

• Snowflake-managed network policies for GitHub are generally available (GA). Simplified authentication for GitHub Actions workflows with no custom infrastructure required. Expanded CI/CD support for Azure DevOps and GitLab is also in public preview.
• Multiversion support via the --dbt-version flag is GA as of Snowflake CLI 3.15.0.
• A comprehensive GitHub Actions user guide is now available to help teams set up CI/CD end to end.
• Triggered actions in Snowsight let you kick off a dbt workflow when a pull request is opened or a commit lands on your main branch.

What's next

The roadmap ahead is focused on pace and breadth: dbt Core version cadence, expanded CI/CD integrations and continued investment in the developer experience. The goal is to make Snowflake the best place to build, run and scale dbt projects — without the overhead of managing infrastructure, versions or integrations yourself.

Get started today

dbt Fusion is available on Snowflake now. Try it in your dbt Project and explore the Snowflake CLI documentation to learn more.

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