apache-airflow-providers-apache-pinot
Provider package apache-airflow-providers-apache-pinot for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is an actively maintained, production-stable provider package from the Apache Airflow project with no known vulnerabilities. Install it if you run Airflow and need to query or manage Apache Pinot clusters. The low install friction, permissive license, and tight integration with Airflow's SQL ecosystem make it a straightforward choice for Pinot users in Airflow environments.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 Pinot connection in Airflow.
- Low friction install as a pure-Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and pinotdb >=5.1.0 as runtime dependencies.
License · maintenance · safety
Apache-2.0 (permissive) — Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 197,363 downloads/mo, #9,761 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-apache-pinot
from airflow.providers.apache.pinot.operators.pinot import PinotOperator
from airflow import DAG
with DAG('pinot_query_dag') as dag:
query_task = PinotOperator(
task_id='query_pinot',
sql='SELECT * FROM table_name LIMIT 10',
pinot_conn_id='pinot_default'
)- Specific operators and hooks available beyond basic query execution
- Support for Pinot-specific features (real-time tables, segments, etc.)
- Whether cross-provider extras (common.compat, common.sql) are required for typical use
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow workflows with Apache Pinot, a real-time analytics database. It supplies operators and hooks to execute SQL queries against Pinot clusters, manage connections, and integrate Pinot operations into Airflow DAGs. The package is built on top of Airflow's common SQL and compatibility providers, and uses pinotdb as its underlying connection driver.
The package is part of the official Airflow provider ecosystem, maintained by the Apache Software Foundation, and supports current Python versions (3.10 through 3.14). It is designed for teams running Airflow orchestration who need to query or interact with Pinot clusters as part of their data pipelines.
Use it for
- Schedule and orchestrate SQL queries against Pinot tables as part of larger Airflow data workflows.
- Build real-time analytics pipelines that pull data from Pinot into downstream systems.
- Monitor Pinot cluster health and query performance by embedding Pinot operations in Airflow monitoring DAGs.
- Automate ETL tasks that involve querying Pinot and transforming results for reporting or further processing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an actively maintained, production-stable provider package from the Apache Airflow project with no known vulnerabilities. Install it if you run Airflow and need to query or manage Apache Pinot clusters. The low install friction, permissive license, and tight integration with Airflow's SQL ecosystem make it a straightforward choice for Pinot users in Airflow environments.
Install
apache-airflow-providers-apache-pinot 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 pinotdb >=5.1.0 as runtime dependencies.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Pinot connection in Airflow.
License in practice
Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
Quickstart
pip install apache-airflow-providers-apache-pinot
from airflow.providers.apache.pinot.operators.pinot import PinotOperator
from airflow import DAG
with DAG('pinot_query_dag') as dag:
query_task = PinotOperator(
task_id='query_pinot',
sql='SELECT * FROM table_name LIMIT 10',
pinot_conn_id='pinot_default'
)Verify before relying
- Specific operators and hooks available beyond basic query execution
- Support for Pinot-specific features (real-time tables, segments, etc.)
- Whether cross-provider extras (common.compat, common.sql) are required for typical use
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-compatapache-airflow-providers-common-sqlpinotdb |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 197,363 / month, #9,761 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_pinot-4.10.3-py3-none-any.whl
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See also apache-airflow-providers-apache-druid · apache-airflow-providers-apache-pig · apache-airflow-providers-cloudant · apache-airflow-providers-apache-drill · pinotdb · apache-airflow-providers-apache-kylin · apache-airflow-providers-pgvector · apache-airflow-providers-apache-impala · apache-airflow-providers-apache-iceberg · apache-airflow-providers-informatica