apache-airflow-providers-apache-druid
Provider package apache-airflow-providers-apache-druid for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to query or manage Apache Druid. The package is actively maintained, carries no known vulnerabilities, and has low install friction. It is production-stable and widely used. Install only if you have an existing Airflow deployment and a Druid cluster to connect to.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured Druid connection in Airflow.
- Low friction install as a pure Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and modern Python (3.10+).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects without significant legal constraints.
last release 2026-04-12 (124 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 273,664 downloads/mo, #8,197 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-apache-druid
from airflow.providers.apache.druid.operators.druid import DruidOperator
druid_task = DruidOperator(
task_id='query_druid',
sql='SELECT * FROM table',
druid_conn_id='druid_default'
)- Specific operators and hooks available beyond the base integration.
- Whether cross-provider dependencies (apache.hive) are needed for typical use cases.
- Performance characteristics when querying large Druid datasets through Airflow.
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow and Apache Druid, enabling you to orchestrate Druid queries and operations as part of your Airflow DAGs. It wraps pydruid and integrates with Airflow's task execution model, allowing you to define Druid-based tasks alongside other data pipeline steps.
The package depends on apache-airflow (>=2.11.0), apache-airflow-providers-common-sql, apache-airflow-providers-common-compat, and pydruid (>=0.6.6). It is actively maintained, supports Python 3.10 through 3.14, and carries no known security vulnerabilities. Installation is straightforward via pip on top of an existing Airflow setup.
Use it for
- Schedule and monitor Druid SQL queries as part of larger Airflow data pipelines.
- Orchestrate ETL workflows that extract data from Druid and load it into downstream systems.
- Integrate Druid analytics queries into multi-step Airflow DAGs with conditional logic and error handling.
- Manage Druid data ingestion and segment operations through Airflow task scheduling.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow and need to query or manage Apache Druid.
The package is actively maintained, carries no known vulnerabilities, and has low install friction. It is production-stable and widely used. Install only if you have an existing Airflow deployment and a Druid cluster to connect to.
Install
apache-airflow-providers-apache-druid on PyPI
Before you install
Low friction install as a pure Python wheel. Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and modern Python (3.10+).
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Druid connection in Airflow.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects without significant legal constraints.
Quickstart
pip install apache-airflow-providers-apache-druid
from airflow.providers.apache.druid.operators.druid import DruidOperator
druid_task = DruidOperator(
task_id='query_druid',
sql='SELECT * FROM table',
druid_conn_id='druid_default'
)Verify before relying
- Specific operators and hooks available beyond the base integration.
- Whether cross-provider dependencies (apache.hive) are needed for typical use cases.
- Performance characteristics when querying large Druid datasets through Airflow.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesapache-airflowapache-airflow-providers-common-sqlapache-airflow-providers-common-compatpydruid |
| Maintenance | Actively maintained 124 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 273,664 / month, #8,197 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_apache_druid-4.5.2-py3-none-any.whl
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See also apache-airflow-providers-apache-pinot · apache-airflow-providers-ydb · apache-airflow-providers-apache-drill · apache-airflow-providers-apache-kylin · apache-airflow-providers-apache-hive · apache-airflow-providers-apache-impala · apache-airflow-providers-informatica · apache-airflow-providers-odbc · apache-airflow-providers-mysql · apache-airflow-providers-vertica