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dbt Fusion, published by dbt Labs, Inc., is a next-generation command-line engine for data transformation workflows, designed to deliver significantly faster SQL parsing, compilation, and execution compared to earlier dbt tooling. Positioned within the data engineering and analytics category, dbt Fusion serves as the core engine behind dbt-based workflows, enabling data analysts and engineers to build, test, and deploy transformation models more efficiently against modern data warehouses. The engine connects to major data platforms, including Snowflake, BigQuery, Databricks, Postgres, and Redshift, through ADBC (Arrow Database Connectivity) adapters, which provide a standardized, high-performance interface for communicating with these systems. dbt Fusion can be used in two primary ways: as a standalone tool from the command line, which suits users who prefer terminal-based workflows or need to integrate the engine into automated pipelines and scripts, or through the dbt VS Code extension, which offers an integrated development experience within a popular code editor for users who want editor-native feedback while authoring models. Typical use cases include compiling and executing SQL transformation models at scale, accelerating iterative development cycles where parsing and compilation speed directly affect productivity, and running data transformation jobs against cloud data warehouses as part of broader analytics engineering practices. The current version of dbt Fusion is 2.0.0-preview.212, and the "preview" designation in the version identifier indicates that this release line is made available ahead of general availability, allowing users to evaluate the new engine. The software catalog lists 24 versions of dbt Fusion in total, reflecting an active release history with multiple iterations made available over time as the engine continues to evolve toward broader production readiness.
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