apache-airflow-providers-trino
Provider package apache-airflow-providers-trino for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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.
- Low install friction with a pure-Python wheel.
- Actively maintained—released 6 days ago with recent commits.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions; suitable for most production and proprietary environments.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 727,546 downloads/mo, #5,216 on PyPI
Alternatives
Verify before relying
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'
)- 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.
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 on this page. Verify before relying on it.
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
apache-airflow-providers-trino on PyPI
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.
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.
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'
)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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-common-sqlpandastrino |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 727,546 / month, #5,216 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_trino-6.6.1-py3-none-any.whl
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See also apache-airflow-providers-databricks · apache-airflow-providers-presto · apache-airflow-providers-salesforce · apache-airflow-providers-mysql · apache-airflow-providers-dbt-cloud · apache-airflow-providers-oracle · apache-airflow-providers-exasol · apache-airflow-providers-microsoft-azure · apache-airflow-providers-ftp · apache-airflow-providers-apache-beam