Build with speed and confidence.

Empower any data user to build reliable and governed data pipelines.

Infinity loop diagram illustrating the Analytics Development Lifecycle (ADLC), showing key stages from develop and test to deploy, plan, analyze, operate, observe, and discover.
The Analytics Development Lifecycle

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 a low-code experience, dbt meets you where you work.

Learn how dbt’s web-based Studio IDE, drag-and-drop Canvas, VS Code extension, and AI-powered Copilot help teams build, test, and deploy analytics workflows at scale.

Develop with dbt

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. The dbt VS Code Extension allows your most technical team members to work with familiar tooling. The dbt Studio IDE equips SQL-savvy developers for success in a browser-based UI. And the drag and drop interface in Canvas allows anyone with SQL familiarity to embrace analytics engineering best practices.

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, 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.

dbt canvas brings any data user into the fold

Empower anyone with SQL familiarity to author dbt models through a drag-and-drop interface with the new visual editing experience. Transformation logic still compiles directly to SQL and is backed by built-in testing, documentation, and version control

dbt canvas brings any data user into the fold

Build better with dbt.

dbt is how modern data teams ship and scale trusted data—from first model to federated data mesh.

Proven by the best in data.

Join leading companies transforming data into insights.

Condé Nast

Condé Nast serves up multimedia content on a global scale

Our evergreen platform, built on dbt and Databricks, lets our teams around the world work from the same data sets. That translates to higher productivity and greater trust in our data as we work to become a global enterprise.

Nana Essuman, Senior Director of Data Engineering & Data Warehouse at Condé Nast

30%increase in self-service for data warehouse engineers
85 dbt models built on an evergreen platform across various domains
Read Customer Study
Additional resources

Learn how to develop faster with dbt.

Documentation

Intro to dbt Studio IDE

dbt Studio IDE compiles dbt code into SQL and executes it directly on your database.

Documentation

Get started with dbt Canvas

Learn how dbt Canvas can help you quickly access and transform data through a visual, drag-and-drop experience.

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.