apache-airflow-providers-vertica
Provider package apache-airflow-providers-vertica for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained provider package with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow and need to integrate Vertica databases into your orchestration workflows. Requires Apache Airflow >=2.11.0 and Python >=3.10.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 Vertica connection in Airflow's connection store.
- Low friction installation as a pure Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and vertica-python >=1.3.0 as core dependencies.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions.
last release 2026-05-23 (83 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 227,966 downloads/mo, #9,161 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-vertica
from airflow.providers.vertica.operators.vertica import VerticaOperator
task = VerticaOperator(
task_id='query_vertica',
sql='SELECT * FROM my_table',
vertica_conn_id='vertica_default'
)- Specific Vertica database versions supported by vertica-python >=1.3.0
- Whether optional sqlalchemy dependency unlocks additional query or ORM features
- Exact Airflow operator and hook classes available in this provider
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow workflows to Vertica databases. It supplies connection, hook, and operator abstractions so that Airflow DAG tasks can authenticate to Vertica instances, execute SQL queries, and manage data pipelines. The package depends on apache-airflow (>=2.11.0), vertica-python (>=1.3.0) for the actual database driver, and common Airflow provider utilities for SQL and compatibility layers.
It is designed for teams running Airflow orchestration who need Vertica as a data source or sink in their workflows. Installation is straightforward on top of an existing Airflow setup, and the package supports Python 3.10 through 3.14. An optional sqlalchemy extra is available for users who need ORM or advanced query construction.
Use it for
- Schedule recurring SQL queries against Vertica and load results into downstream systems via Airflow DAGs.
- Build ETL pipelines that extract data from Vertica, transform it, and load into data lakes or warehouses.
- Monitor Vertica database health and performance by running diagnostic queries on a schedule within Airflow.
- Orchestrate multi-step data workflows where Vertica is one of several data sources or destinations.
- Automate data validation and reconciliation tasks that require direct Vertica database access from Airflow.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained provider package with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow and need to integrate Vertica databases into your orchestration workflows. Requires Apache Airflow >=2.11.0 and Python >=3.10.
Install
apache-airflow-providers-vertica on PyPI
Before you install
Low friction installation as a pure Python wheel. Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and vertica-python >=1.3.0 as core dependencies.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Vertica connection in Airflow's connection store.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions.
Quickstart
pip install apache-airflow-providers-vertica
from airflow.providers.vertica.operators.vertica import VerticaOperator
task = VerticaOperator(
task_id='query_vertica',
sql='SELECT * FROM my_table',
vertica_conn_id='vertica_default'
)Verify before relying
- Specific Vertica database versions supported by vertica-python >=1.3.0
- Whether optional sqlalchemy dependency unlocks additional query or ORM features
- Exact Airflow operator and hook classes available in this provider
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-sqlvertica-python |
| Maintenance | Actively maintained 83 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 227,966 / month, #9,161 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_vertica-4.4.0-py3-none-any.whl
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See also apache-airflow-providers-apache-impala · apache-airflow-providers-mysql · apache-airflow-providers-teradata · apache-airflow-providers-vespa · apache-airflow-providers-ydb · apache-airflow-providers-mongo · apache-airflow-providers-exasol · apache-airflow-providers-sqlite · apache-airflow-providers-odbc · apache-airflow-providers-apache-hive