> [!WARNING] > **dbt v1 development has moved to the [`1.latest`](https://github.com/dbt-labs/dbt/tree/1.latest) branch.** > The `main` branch now contains all the Apache 2.0 source code of dbt v2.0 — a ground-up rewrite of dbt in Rust. If you're looking for the v1 Python implementation of the dbt framework, switch to [`1.latest`](https://github.com/dbt-labs/dbt/tree/1.latest). **[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  ## About dbt v2.0 dbt v2.0 is engineered for performance at scale. It parses, compiles, and runs projects in a fraction of the time compared to v1. The source code in this repository is available to everyone under the standard Apache 2.0 license. [dbt](https://docs.getdbt.com/docs/introduction) is a distribution of the dbt repository with dbt-specific customizations released under a [dbt product license](https://www.getdbt.com/dbt-fusion-engine-license-agreement). The big shifts from v1: - **Faster** — parse and compile times are dramatically improved, especially on the largest dbt projects. - **Stricter** — a tightly-defined language specification enforces correctness at parse time. - **More scalable artifacts** — v2.0 produces Parquet artifacts that can be easily queried, joined, and analyzed to understand your dbt project. The artifacts encompass everything in the JSON artifacts (e.g. `manifest.json`), which continue to be produced for backwards compatibility. - **Easier to install** — distributed as a single self-contained binary, with no Python runtime or dependency management required. - **A completely revamped local documentation experience** — dbt docs is now powered by those new artifacts and capable of scaling to large projects. ### Supported operating systems and architectures dbt v2.0 and its drivers are compiled per operating system and architecture. Legend: * 🟢 — Supported today * 🟡 — Not yet supported | Operating system | x86-64 | ARM | |---|---|---| | macOS | 🟢 | 🟢 | | Linux | 🟢 | 🟢 | | Windows | 🟢 | 🟡 | ## Understanding dbt Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse. These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).  ## Getting started * [Install dbt](https://docs.getdbt.com/docs/local/install-dbt?version=2) * Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/) * Explore the [dbt platform](https://docs.getdbt.com/docs/cloud/about-cloud/dbt-cloud-features) for an enhanced collaboration experience. ## Join the dbt Community - Be part of the conversation in the [dbt Community Slack](http://community.getdbt.com/) - Read more on the [dbt Community Discourse](https://discourse.getdbt.com) ## Reporting bugs and contributing code - Want to report a bug or request a feature? Let us know and open [an issue](https://github.com/dbt-labs/dbt/issues/new/choose) - Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt/blob/HEAD/CONTRIBUTING.md) ## Code of Conduct Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [dbt Code of Conduct](https://docs.getdbt.com/community/resources/code-of-conduct). ## License The source code in this repository is licensed under the [Apache License 2.0](LICENSE).