ai-agent

dbt-databricks

Name: dbt-databricks
Author: databricks

A dbt adapter for Databricks.

382 stars+2★ this week225 forksPythonUpdated 10/22/2026100% free · open source

What it does

dbt-databricks allows you to use dbt, a popular data build tool, to manage and transform data in Databricks, a cloud-based data engineering platform.

When to use it

•You need to manage complex data pipelines in Databricks and want to leverage dbt's simplicity and flexibility.
•Your data team is already familiar with dbt and you want to extend its capabilities to Databricks.
•You want to take advantage of Databricks' scalable computing resources and dbt's data transformation capabilities for large-scale data projects.

Ready-to-paste prompt

dbt run --m my_model --var 'my_variable: my_value' --target dev

Heads up: Make sure you have a Databricks cluster configured and running before attempting to use dbt-databricks, as the adapter will attempt to connect to the cluster to execute dbt models.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/dbt-databricks && curl -fsSL https://workflowstacks.com/api/skills/dbt-databricks/claude-skill -o ~/.claude/skills/dbt-databricks/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How dbt-databricks works

Codeflow

Free to inspect

Dbt-databricks is a large Python project (~16k lines across 139 code files, plus 269 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.

Size

Large codebase

~16k lines · 139 code files · ~2 h to skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
pyproject.toml
Dependencies and the commands it exposes

What's in each folder

docs/Documentation21 files

dbt/Folder134 files

scripts/Helper scripts6 files

tests/Tests — proof it works274 files

.github/CI / automation (GitHub Actions)24 files

.agents/Tool / agent settings3 files

.claude/Editor / agent settings1 files

READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month