Build with speed and confidence.
Empower any data user to build reliable, governed data pipelines with AI agents that understand your project.
Develop faster with dbt.
The develop phase of the Analytics Development Lifecycle (ADLC) is where ideas become actionable analytics. Whether you prefer the command line or an AI agent, dbt meets you where you work.
Learn how dbt Wizard, the web-based Studio IDE, the VS Code extension, and the dbt MCP server help teams build, test, and deploy analytics workflows at scale.
One platform. Multiple ways to develop.
No matter your team’s level of SQL or coding experience, dbt offers various development environments to meet your teams where they are. dbt Wizard, available in the dbt platform home tab and Studio IDE, is an AI agent that helps anyone implement, validate, and review changes with confidence. The dbt VS Code extension allows your most technical team members to work with familiar tooling. And the dbt MCP server brings your project’s context into the AI tools and agents your team already uses.
Seamless collaboration across teams
dbt enables teams to collaborate effectively, regardless of their technical proficiency. The platform's diverse development interfaces ensure that analysts and engineers can work well together, fostering a culture of shared ownership and continuous improvement.
Accelerate onboarding and skill development
dbt’s intuitive interfaces, AI agent, built-in best practices, and integrated learning resources help new users ramp up quickly. Whether they’re analysts learning to build models or engineers expanding their impact, dbt shrinks the learning curve and enables every contributor to grow their analytics engineering skills.
Security and governance
dbt admins can ensure proper governance with built-in contracts, versions, and access controls. Enjoy all the bells-and-whistles you've come to expect from your enterprise software solutions—RBAC, SSO, audit logging, and more—right out-of-the-box.
Features made to build reliable data pipelines.
dbt offers a suite of features designed to streamline development, enhance collaboration, and ensure data quality across your organization.
Describe what you need and dbt Wizard implements it using your project’s lineage, tests, and metadata. Built-in validation and data diffs show whether a change did what you intended before you open a PR. Available in the dbt platform, Desktop App, or CLI.
Ship changes you can trust.
dbt is how modern data teams build, validate, and ship trusted data, with AI agents that understand your project, from first model to federated data mesh.
Proven by the best in data.
Join leading companies transforming data into insights.
Sunrun enables last mile modeling with dbt Cloud
With data teams spanning several business functions, we didn't just need a way to standardize development. We needed a way for those processes to be easily understood by everyone—seasoned engineers, new analysts, the CFO... everyone.
Jared Stout, Head of Data Management
Learn how to develop faster with dbt.
Intro to dbt Studio IDE
dbt Studio IDE compiles dbt code into SQL and executes it directly on your database.
Get started with dbt Wizard
Learn how dbt Wizard can help you implement, validate, and review changes with an AI agent that understands your project.
Start developing with dbt.
Ship trusted data models faster with powerful development interfaces in dbt.
Great data professionals never work alone
The dbt Community connects you with 100,000+ data professionals—people who share your challenges, insights, and ambitions.