dbt Quickstarts

Begin your dbt journey by trying one of our quickstarts, which provides a step-by-step guide to help you set up dbt Cloud or dbt Core with a variety of data platforms.

dbt Cloud

dbt Cloud is a scalable solution that enables you to develop, test, deploy, and explore data products using a single, fully managed software service. It enables teams with diverse skills to build reliable data products at any scale, with capabilities including:

• Development experiences tailored to multiple personas (in-browser dbt Cloud IDE or locally with the dbt Cloud CLI)
• Out-of-the-box CI/CD workflows
• The dbt Semantic Layer for consistent metrics that can be delivered to any endpoint
• Domain ownership of data with multi-project dbt Mesh setups
• dbt Explorer for collaborative data discovery and understanding

Learn more about dbt Cloud features and start your free trial today.

Quickstart for dbt Cloud and Azure Synapse Analytics

Discover how to integrate dbt Cloud with Azure Synapse Analytics for your data transformations.

Quickstart for dbt Cloud and BigQuery

Discover how to leverage dbt Cloud with BigQuery to streamline your analytics workflows.

Quickstart for dbt Cloud and Databricks

Learn how to integrate dbt Cloud with Databricks for efficient data processing and analysis.

Quickstart for dbt Cloud and Microsoft Fabric

Explore the synergy between dbt Cloud and Microsoft Fabric to optimize your data transformations.

Quickstart for dbt Cloud and Redshift

Learn how to connect dbt Cloud to Redshift for more agile data transformations.

Quickstart for dbt Cloud and Snowflake

Unlock the full potential of using dbt Cloud with Snowflake for your data transformations.

Quickstart for dbt Cloud and Starburst Galaxy

Leverage dbt Cloud with Starburst Galaxy to enhance your data transformation workflows.

Quickstart for dbt Cloud and Teradata

Discover and use dbt Cloud with Teradata to enhance your data transformation workflows.

dbt Core

dbt Core is a command-line open-source tool that enables data practitioners to transform data using analytics engineering best practices. It suits individuals and small technical teams who prefer manual setup and customization, supports community adapters, and open-source standards.

dbt Core from a manual install

Learn how to install dbt Core and set up a project.

dbt Core using GitHub Codespace

Learn how to create a codespace and execute the dbt build command.

Related docs

Expand your dbt knowledge and expertise with these additional resources:

• Join the bi-weekly demos to see dbt Cloud in action and ask questions.
• dbt Cloud AWS marketplace contains information on how to deploy dbt Cloud on AWS, user reviews, and more.
• Best practices contains information on how dbt Labs approaches building projects through our current viewpoints on structure, style, and setup.
• dbt Learn offers free online courses that cover dbt fundamentals, advanced topics, and more.
• Join the dbt Community to learn how other data practitioners globally are using dbt, share your own experiences, and get help with your dbt projects.