dbt-labs/dbt-fusion
ARCHIVE: code & issue tracking in dbt-core
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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.
General guidance from repository metadata, not legal advice. How we score
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.
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
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| dbt-labs/dbt-fusion | 729 | — | 40 | — |
| Category median | 56.0K | +2.3K | 29 | — |
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