apache-airflow-providers-apache-kylin

What it is and what it does

This is an Apache Airflow provider package that bridges Kylin OLAP analytics into Airflow's workflow orchestration. It supplies operators, hooks, and connection types for interacting with Apache Kylin clusters from within Airflow DAGs, allowing you to schedule and monitor Kylin queries as part of larger data pipelines.

The package depends on apache-airflow (>=2.11.0), kylinpy (>2.7.0), and apache-airflow-providers-common-compat (>=1.10.1). It is actively maintained, supports Python 3.10 through 3.14, and carries no known vulnerabilities. Installation is straightforward via pip on top of an existing Airflow installation.

Use it for:

• Schedule recurring Kylin OLAP queries as part of a data warehouse refresh pipeline in Airflow
• Orchestrate multi-step analytics workflows that query Kylin cubes and pass results to downstream tasks
• Monitor and log Kylin query execution and performance metrics within Airflow's task history
• Integrate Kylin data cube operations into CI/CD or ETL automation workflows managed by Airflow

Worth the install?

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

Integrates Apache Kylin OLAP analytics with Apache Airflow workflows, enabling scheduled queries and data cube management through Airflow DAGs.

Yes, if you run Apache Airflow and need to orchestrate Apache Kylin analytics. The package is actively maintained, carries no security vulnerabilities, and has low install friction. It is production-stable and suitable for teams using both Airflow and Kylin in their data stack.

Install

apache-airflow-providers-apache-kylin on PyPI

pip install apache-airflow-providers-apache-kylin

uv add apache-airflow-providers-apache-kylin

poetry add apache-airflow-providers-apache-kylin

Installing apache-airflow-providers-apache-kylin

Before you install

Low friction install as a pure Python wheel. Actively maintained with recent releases; requires apache-airflow >=2.11.0 and kylinpy >2.7.0.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most deployment contexts.

Quickstart

pip install apache-airflow-providers-apache-kylin

from airflow.providers.apache.kylin.operators import KylinOperator
from airflow import DAG

with DAG('kylin_query') as dag:
    task = KylinOperator(task_id='run_query')

Requires apache-airflow >=2.11.0 and kylinpy >2.7.0 to be installed; Python 3.10 or later.

Verify before relying

• What specific Kylin operators and hooks are available in this provider version
• Whether Kylin connection configuration is documented for Airflow's connection UI
• Support for Kylin query result handling and downstream task integration patterns

Package facts

Evidence: apache_airflow_providers_apache_kylin-3.10.5-py3-none-any.whl

Keywords: airflow-provider, apache.kylin, airflow, integration

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