automation

terraform-provider-databricks

Databricks Terraform Provider
613 stars+1★ this week570 forksGoUpdated 10/24/2026100% free · open source
What it does

The Databricks Terraform Provider allows you to manage Databricks resources such as clusters, jobs, and notebooks using Terraform infrastructure-as-code syntax.

When to use it
  • •You need to automate the deployment of Databricks workspaces and clusters for your data engineering team.
  • •You want to version control and track changes to your Databricks configurations using Git.
  • •You are building a data pipeline that requires integration with Databricks and other cloud services.
Ready-to-paste prompt
Create a new Databricks cluster with `resource 'databricks_cluster' 'example' { name = 'Example Cluster' node_type_id = 'i3.xlarge' }` and apply with `terraform apply`
Heads up: You need to set the `DATABRICKS_HOST` and `DATABRICKS_TOKEN` environment variables or use the `host` and `token` attributes in the `provider` block to authenticate with your Databricks workspace.
Saves to your device
Use with Claude
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✅ 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/terraform-provider-databricks && curl -fsSL https://workflowstacks.com/api/skills/terraform-provider-databricks/claude-skill -o ~/.claude/skills/terraform-provider-databricks/SKILL.md
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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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What's inside — free to inspect

No purchase needed

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31
top-level files
39
folders
133.7M
source size
Other
license
Key files
.package.json
AGENTS.md
main.go
README.md
test-config.yaml
File tree
.codegen/
.devcontainer/
.github/
.vscode/
access/
apps/
aws/
catalog/
clusters/
commands/
common/
dashboards/
docs/
exporter/
finops/
internal/
jobs/
libraries/
logger/
mlflow/
mws/
permissions/
pipelines/
policies/
Quick Actions
Details
Creator
databricks
Language
Go
Category
automation
Published
2/13/2020

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Featured on WorkflowStacks
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