pulumi-databricks
A Pulumi package for creating and managing databricks cloud resources.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.9 and valid Databricks workspace credentials (host and token, or username/password, or CLI config file).
- 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 · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), so you can use, modify, and distribute this package freely in commercial and open-source projects without restriction.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 14 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 281,150 downloads/mo, #8,104 on PyPI
Alternatives
Verify before relying
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')- 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.
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 on it.
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
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.
Requires Python >= 3.9 and valid Databricks workspace credentials (host and token, or username/password, or CLI config file).
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')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
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesparverpulumisemvertyping-extensions |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 281,150 / month, #8,104 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pulumi_databricks-1.104.0-py3-none-any.whl
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See also pulumi-docker · databricks-sdk · databricks-api · pulumi-gcp · databricks-bundles · pulumi-github · pulumiverse-grafana · databricks-cli · pulumi-azure · pulumi-datadog