Skip to main content

The dbt Developer Hub

Find everything you need to build, document, and collaborate with dbt — faster.

Install dbt VS Code extension + Fusion

Quickstart

New to dbt? Start here.

dbt Fusion engine

Learn about the dbt Fusion engine and see how it enables dbt to operate at speed and scale like never before.

Get started with dbt

Build fast with our quickstart guides.

Move to the dbt platform

Migrate from dbt Core to the powerful, lightning fast dbt platform today!

Documentation by product

Explore the docs by product

dbt Copilot

AI-powered assistant that automates code, tests, and documentation in your workflow.

VS Code Extension

This free tool brings the full power of the dbt Fusion engine into your local environment with features like live error detection, lightning-fast parse times, insights and rich lineage all in VS Code or Cursor.

dbt Orchestrator

Every time a job runs, state-aware orchestration automatically determines which models to build by detecting changes in code or data.

dbt Insights

dbt Insights in dbt empowers users to seamlessly explore and query data with an intuitive, context-rich interface.

dbt Canvas

dbt Canvas helps you quickly access and transform data through a visual, drag-and-drop experience and with a built-in AI for custom code generation.

dbt Semantic Layer

The dbt Semantic Layer eliminates duplicate coding by allowing data teams to define metrics on top of existing models and automatically handling data joins.

dbt Catalog

Use dbt Catalog to navigate and manage your projects within dbt to help you and other data developers, analysts, and consumers discover and leverage your dbt resources.

Studio IDE

The dbt integrated development environment (Studio IDE) is a single web-based interface for building, testing, running, and version-controlling dbt projects.

dbt Mesh

dbt Mesh is a framework that helps organizations scale their teams and data assets effectively.

Docs highlights

Dive deeper into dbt

Learn best practices, explore detailed configuration references, or review our APIs.

Documentation

API Docs Product Docs Best Practices Copilot

Guides

Quickstart for dbt and Snowflake Quickstart for dbt and Databricks Airflow and dbt Debugging errors

Reference Guides

Command Reference Project Configurations dbt Artifacts

Other Resources

Release Notes Developer Blog Join the Community

Get help from others

Join the dbt Community

Connect with thousands of developers solving real data problems every day.

Join Slack

Ask questions, get answers, and meet people who speak your data language.

GitHub Discussions

Join technical threads or open issues.

Subscribe to the newsletter

Get fresh community ideas, job posts, and tools delivered weekly.

Answer a question on Discourse

Help someone solve a real problem—and build your reputation doing it.

Webinars

Upcoming and on-demand sessions from dbt Labs.

Events

Meetups, conferences, and community gatherings.

Courses & Tutorials

Learn dbt with hands-on guidance.

From the team

Read the developer blog

Deep dives, changelogs, best practices, and new feature highlights from dbt Labs.

The devil is in the docs

The devil in the details and the details are the docs that we write. How we're bringing those decisions closer to users in the AI era.

Building a better data agent benchmark

An update on ADE-bench, why context is critical to agentic workflows, and how you can improve your own team's agent eval loop.

Semantic Layer vs. Text-to-SQL: 2026 Benchmark Update

With 2026's best models, the dbt Semantic Layer hits near-100% accuracy for covered queries. Here's what changed and what didn't in our...

ai semantic-layer llm