dbt-labs

    dbt-labs/dbt-fusion

    ARCHIVE: code & issue tracking in dbt-core

    729 stars
    126 forks
    729 GitHub watchers
    Updated Oct 31, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 88 contributors on GitHub.

    Gained 90% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Implements a next-generation dbt execution engine written in Rust for faster, more correct SQL compilation and execution across multiple data warehouse dialects.
    • Offers improved speed, strict YAML validation, multi-dialect SQL comprehension, and standalone deployment without Python or JVM dependencies.
    • Use for accelerating dbt project execution with enhanced correctness and performance on MacOS or Linux systems.
    • Use for integrating dbt workflows with modern Arrow Database Connector (ADBC) drivers for efficient, unified data warehouse connections.
    • Use for developing and testing dbt projects with a language server and VS Code extension supporting advanced static analysis and authoring.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    This repo hosts components of the dbt Fusion engine, the foundation for future innovation in dbt. The dbt Fusion engine is written in Rust and is designed for speed, correctness, and has a native understanding of SQL across multiple data warehouse SQL dialects.

    Bugs and missing functionality compared to dbt Core will be resolved continuously in the leadup to a final release (more info: the dbt Fusion Engine: the Path to GA).

    The dbt Fusion engine is a ground up, first principles rewrite of the dbt Core execution engine, built to be interoperable with the standard dbt authoring layer. Fusion enforces some ambiguous areas of the authoring spec more strictly than dbt Core to ensure correctness (for example, dbt Core does not proactively validate most YAML configurations). Many of these discrepancies can be fixed automatically with the dbt Autofix tool.

    Beyond conformance with dbt Core, Fusion also contains new SQL Comprehension capabilities, a language server, modern ADBC drivers for warehouse connections, and more. While dbt Core was written in Python, the dbt Fusion engine is written in Rust, and compiled to a single application binary.

    You can install dbt-fusion onto your local machine, a docker container, or a machine in the cloud. It is designed for flexible installation, with no dependencies on other libraries. The only libraries that dbt Fusion will load are it's corresponding database drivers.

    Excerpt from the dbt-labs/dbt-fusion README on GitHub. © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    126+1

    Open issues

    23+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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