apache-airflow-providers-dbt-cloud
Provider package apache-airflow-providers-dbt-cloud for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained provider from the Apache Airflow project with no known vulnerabilities. Install it if you use both Airflow and dbt Cloud and need to orchestrate dbt jobs within Airflow workflows. Low install friction and permissive licensing make adoption straightforward.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Airflow installation (>=2.11.0) and dbt Cloud account credentials configured in Airflow connections.
- Low friction install as a pure Python wheel.
- Active maintenance with a release 6 days old; requires Airflow >=2.11.0 and Python 3.10+.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; standard for Apache Airflow ecosystem.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,635,791 downloads/mo, #3,701 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-dbt-cloud
from airflow.providers.dbt.cloud.operators.dbt import DbtCloudRunJobOperator
from airflow import DAG
with DAG('dbt_cloud_dag') as dag:
run_dbt = DbtCloudRunJobOperator(task_id='run_dbt_job')- Specific operators and hooks available beyond DbtCloudRunJobOperator
- Whether OpenLineage integration is enabled by default or requires optional dependency
- Support for dbt Cloud API versions and feature coverage
- Required dbt Cloud account setup and authentication flow
What it is and what it does
This is an official Apache Airflow provider that bridges dbt Cloud and Airflow, allowing you to orchestrate dbt Cloud jobs as tasks within Airflow DAGs. It provides operators and hooks to trigger dbt Cloud runs, monitor their progress, and integrate transformation workflows into larger data pipelines managed by Airflow.
The package depends on core Airflow (>=2.11.0), HTTP provider for API communication, aiohttp for async operations, and tenacity for retry logic. It supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, and is actively maintained by the Apache Airflow project. Optional OpenLineage integration is available for data lineage tracking.
Use it for
- Trigger dbt Cloud transformation jobs on a schedule or event from an Airflow DAG
- Wait for dbt Cloud job completion and handle success/failure within a larger pipeline
- Integrate dbt Cloud runs with upstream data ingestion and downstream analytics tasks
- Monitor and log dbt Cloud job execution as part of centralized Airflow workflow observability
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained provider from the Apache Airflow project with no known vulnerabilities. Install it if you use both Airflow and dbt Cloud and need to orchestrate dbt jobs within Airflow workflows. Low install friction and permissive licensing make adoption straightforward.
Install
apache-airflow-providers-dbt-cloud on PyPI
Before you install
Low friction install as a pure Python wheel. Active maintenance with a release 6 days old; requires Airflow >=2.11.0 and Python 3.10+. Six runtime dependencies are all established ecosystem packages.
Requires an existing Airflow installation (>=2.11.0) and dbt Cloud account credentials configured in Airflow connections.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; standard for Apache Airflow ecosystem.
Quickstart
pip install apache-airflow-providers-dbt-cloud
from airflow.providers.dbt.cloud.operators.dbt import DbtCloudRunJobOperator
from airflow import DAG
with DAG('dbt_cloud_dag') as dag:
run_dbt = DbtCloudRunJobOperator(task_id='run_dbt_job')Verify before relying
- Specific operators and hooks available beyond DbtCloudRunJobOperator
- Whether OpenLineage integration is enabled by default or requires optional dependency
- Support for dbt Cloud API versions and feature coverage
- Required dbt Cloud account setup and authentication flow
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-httpasgirefaiohttptenacity |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,635,791 / month, #3,701 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_dbt_cloud-4.9.3-py3-none-any.whl
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See also apache-airflow-providers-databricks · apache-airflow-providers-oracle · apache-airflow-providers-trino · apache-airflow-providers-apache-spark · apache-airflow-providers-ftp · airflow-dbt-python · airflow-dbt · apache-airflow-providers-cncf-kubernetes · apache-airflow-providers-salesforce · sf-hamilton