About Fusion local installation preview

important

The dbt Fusion Engine is currently available for installation in:

• Local command line interface (CLI) tools preview
• VS Code and Cursor with the dbt extension preview
• dbt platform environments beta

Join the conversation in our Community Slack channel #dbt-fusion-engine.

Read the Fusion Diaries for the latest updates.

Learn more about installing Fusion locally, along with important prerequisites, step-by-step installation instructions, troubleshooting common issues, and configuration guidance.

Prerequisites

Before installing Fusion, ensure that you:

• Have administrative privileges to install software on your local machine.

• Are comfortable using a command-line interface (Terminal on macOS/Linux, PowerShell on Windows).

• Use a supported data warehouse and authentication method and configure permissions as needed:

   BigQuery

  • Service Account / User Token
  • Native OAuth
  • External OAuth
  • Required permissions
   Databricks

  • Service Account / User Token
  • Native OAuth
   Redshift

  • Username / Password
   Snowflake

  • Username / Password
  • Native OAuth
  • External OAuth
  • Key pair
  • MFA

• Use a supported operating system:

  🟢 - Supported
  🟡 - Not yet supported

  Operating System	X86-64	ARM
  macOS	🟢	🟢
  Linux	🟢	🟢
  Windows	🟢	🟡

dbt VS Code Extension

Learn how to connect to a data platform, integrate with secure authentication methods, and configure a sync with a git repo.

dbt Fusion engine from the CLI

Learn how to install the dbt Fusion engine on the command line interface (CLI).

dbt Fusion engine upgrade

Learn how you can upgrade and leverage the speed and scale of the dbt Fusion engine

Was this page helpful?

Privacy policyCreate a GitHub issue

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.