pulumi-databricks

What it is and what it does

This is a Pulumi resource provider that bridges Python infrastructure-as-code with Databricks cloud services. It lets you declare Databricks workspaces, clusters, jobs, and other resources in Python code, then deploy and manage them through Pulumi's orchestration engine. The package wraps Databricks APIs and integrates with Pulumi's state management and dependency tracking.

You configure it with Databricks credentials (host and token, or username/password, or a local CLI config file), then write Python code that instantiates Databricks resources as objects. Pulumi handles the rest: tracking state, computing diffs, and applying changes. It depends on pulumi as its core runtime and uses parver and semver for version handling.

Use it for:

• Provision Databricks workspaces and clusters as part of a larger cloud infrastructure stack managed by Pulumi.
• Automate the creation and configuration of Databricks jobs and notebooks in a repeatable, version-controlled way.
• Manage Databricks resources across multiple environments (dev, staging, prod) using the same code with different configs.
• Integrate Databricks resource lifecycle with other cloud resources in a single Pulumi program.
• Track and audit changes to Databricks infrastructure through Pulumi's state and history.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

A Pulumi resource provider that lets you define, deploy, and manage Databricks workspaces and resources using infrastructure-as-code in Python.

Yes, if you are already using Pulumi for infrastructure-as-code and need to manage Databricks resources. The package is actively maintained, has no known vulnerabilities, installs cleanly, and is licensed permissively. Install it only if Databricks is part of your infrastructure footprint; it is not a general-purpose Databricks client library.

Install

pulumi-databricks on PyPI

pip install pulumi-databricks

uv add pulumi-databricks

poetry add pulumi-databricks

Installing pulumi-databricks

Before you install

Low install friction; depends on four lightweight runtime packages (pulumi, parver, semver, typing-extensions). Active maintenance with a release 1 day old and commits through 2026-08-14.

License in practice

Licensed under Apache-2.0 (permissive), so you can use, modify, and distribute this package freely in commercial and open-source projects without restriction.

Quickstart

pip install pulumi_databricks

import pulumi
import pulumi_databricks as databricks

# Configure provider with host and token
config = pulumi.Config()
host = config.require_secret('databricks_host')
token = config.require_secret('databricks_token')

Requires Python >= 3.9 and valid Databricks workspace credentials (host and token, or username/password, or CLI config file).

Verify before relying

• Which specific Databricks resources (jobs, clusters, notebooks, etc.) are supported by version 1.104.0.
• Whether the provider supports all Databricks API endpoints or a subset.
• Performance characteristics when managing large numbers of resources.

Package facts

Evidence: pulumi_databricks-1.104.0-py3-none-any.whl

Keywords: pulumi, databricks, category/infrastructure

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