apache-airflow-providers-exasol

What it is and what it does

This is an Apache Airflow provider package that adds Exasol database support to Airflow workflows. It bridges Airflow's task orchestration with Exasol's distributed SQL engine, allowing you to define, schedule, and monitor data operations against Exasol clusters as part of larger data pipelines.

The package depends on apache-airflow, pyexasol for native Exasol connectivity, pandas for data manipulation, and common Airflow provider libraries for SQL and compatibility abstractions. It supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, and requires Airflow >=2.11.0. An optional sqlalchemy extra is available for additional SQL toolkit integration.

Use it for:

• Schedule and run SQL queries against Exasol in Airflow DAGs as part of ETL workflows
• Load data from external sources into Exasol tables on a schedule
• Extract data from Exasol and pass it downstream to other Airflow tasks
• Monitor Exasol query execution and data pipeline health within Airflow's UI
• Orchestrate multi-step analytics workloads that include Exasol transformations

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Integrates Exasol database with Apache Airflow, providing operators and hooks to query, load, and manage data in Exasol clusters from Airflow workflows.

Yes, if you run Airflow and need to integrate Exasol into your data pipelines. The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive Apache license. Install only if you have Airflow >=2.11.0 already running and an Exasol cluster to connect to.

Install

apache-airflow-providers-exasol on PyPI

pip install apache-airflow-providers-exasol

uv add apache-airflow-providers-exasol

poetry add apache-airflow-providers-exasol

Installing apache-airflow-providers-exasol

Before you install

Low friction install as a wheel. Maintained actively with a recent release. Requires Apache Airflow >=2.11.0 and depends on pyexasol, pandas, and common Airflow provider libraries.

License in practice

Apache-2.0 license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.

Quickstart

pip install apache-airflow-providers-exasol

from airflow.providers.exasol import operators
from airflow import DAG

with DAG('exasol_example') as dag:
    task = operators.ExasolOperator(
        task_id='query_exasol',
        exasol_conn_id='exasol_default'
    )

Requires Apache Airflow >=2.11.0 and an Exasol cluster with network connectivity from your Airflow environment.

Verify before relying

• Specific operators and hooks provided beyond basic SQL execution
• Whether sqlalchemy extra is required for typical workflows or optional
• Data transfer performance characteristics or volume limits
• Example DAG code and typical usage patterns

Package facts

Evidence: apache_airflow_providers_exasol-4.10.5-py3-none-any.whl

Keywords: airflow-provider, exasol, airflow, integration

Tags

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