---
id: apache-airflow-providers-trino
version: "6.6.1"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-trino — Provider package apache-airflow-providers-trino for Apache Airflow

License: permissive · Maintenance: active · Downloads: 727.5K/mo

## What it is and what it does

This is an Apache Airflow provider package that bridges Airflow's workflow orchestration engine with Trino, a distributed SQL query engine. It supplies operators, hooks, and connection management to let you define Airflow DAG tasks that execute Trino queries, retrieve results, and integrate Trino operations into larger data pipelines. The package depends on apache-airflow, apache-airflow-providers-common-sql for shared SQL abstractions, pandas for data handling, and the trino client library itself.

You install it on top of an existing Airflow deployment to gain Trino-specific task types and connection handling. It supports Python 3.10 through 3.14 and requires Airflow 2.11.0 or later. The package is actively maintained by the Apache Airflow project, with optional integrations available for Google Cloud and OpenLineage if you need cross-provider orchestration or data lineage tracking.

Use it for:

- Schedule recurring Trino SQL queries as part of an Airflow DAG to transform or aggregate data.
- Build multi-step data pipelines that query Trino, process results with pandas, and feed downstream tasks.
- Orchestrate Trino-based ETL workflows with dependency management, retry logic, and monitoring.
- Integrate Trino queries with Google Cloud services using optional google provider extras.
- Track data lineage through Trino operations when using the openlineage optional integration.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Apache Airflow with Trino, enabling Airflow DAGs to execute queries and manage Trino connections as part of data pipeline orchestration.

Yes, if you run Apache Airflow and need to orchestrate Trino queries. The package is production-stable, actively maintained, has low install friction, and carries a permissive license. Verify your Airflow version meets >=2.11.0 and Python is >=3.10 before installing. No known security vulnerabilities.

## Install

pip install apache-airflow-providers-trino
uv add apache-airflow-providers-trino
poetry add apache-airflow-providers-trino

## Installing apache-airflow-providers-trino

Before you install: Low install friction with a pure-Python wheel. Actively maintained—released 6 days ago with recent commits. Requires Apache Airflow >=2.11.0 and modern Python (3.10+); verify your Airflow version meets the minimum before installing.

License in practice: Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions; suitable for most production and proprietary environments.

Quickstart:

pip install apache-airflow-providers-trino

from airflow.providers.trino.operators.trino import TrinoOperator
from airflow import DAG

with DAG('my_dag') as dag:
    task = TrinoOperator(
        task_id='query_trino',
        sql='SELECT * FROM my_table',
        trino_conn_id='trino_default'
    )

Requires Apache Airflow >=2.11.0 and Python >=3.10 to be already installed; Trino >=0.319.0 must be available as a connection target.

Verify before relying:

- Whether the package includes hooks, sensors, or transfer operators beyond basic query execution.
- Support for Trino-specific features like iceberg tables or federated queries.
- Whether optional extras (google, openlineage) are commonly used in production workflows.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 727.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow trino provider, trino integration airflow, airflow sql query execution, data pipeline orchestration trino, airflow database connector, trino operator airflow, airflow workflow scheduling, airflow-provider, data-orchestration, sql-integration

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