apache-airflow-providers-dbt-cloud

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

Integrates dbt Cloud with Apache Airflow, enabling orchestration of dbt Cloud jobs and data transformation workflows within Airflow DAGs.

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

pip install apache-airflow-providers-dbt-cloud

uv add apache-airflow-providers-dbt-cloud

poetry add apache-airflow-providers-dbt-cloud

Installing apache-airflow-providers-dbt-cloud

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.

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')

Requires an existing Airflow installation (>=2.11.0) and dbt Cloud account credentials configured in Airflow connections.

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

Evidence: apache_airflow_providers_dbt_cloud-4.9.3-py3-none-any.whl

Keywords: airflow-provider, dbt.cloud, airflow, integration

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