apache-airflow-providers-cloudant

What it is and what it does

This is an Apache Airflow provider package that adds Cloudant database integration to Airflow workflows. It wraps the ibmcloudant client library and exposes Airflow operators and hooks to read from and write to IBM Cloudant databases as part of data pipeline orchestration. The package is maintained by the Apache Airflow project and follows its provider plugin architecture.

You install it on top of an existing Airflow deployment to gain the ability to define Cloudant operations as Airflow tasks. It supports Python 3.10 through 3.14 and requires Airflow >=2.11.0. The package has been in active development since 2020 and is marked production-stable.

Use it for:

• Extract data from Cloudant databases as part of an Airflow ETL pipeline.
• Load transformed data into Cloudant as a sink in a multi-stage Airflow workflow.
• Monitor and schedule regular synchronization jobs between Cloudant and other data systems.
• Orchestrate data validation and quality checks on Cloudant documents within Airflow DAGs.

Worth the install?

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

Provides Apache Airflow operators and hooks to integrate IBM Cloudant databases into data pipelines, enabling read and write operations within Airflow workflows.

Yes, if you use Apache Airflow and need to integrate IBM Cloudant databases into your workflows. The package is actively maintained, has no known vulnerabilities, carries a permissive license, and installs with low friction. It is production-stable and part of the official Airflow ecosystem.

Install

apache-airflow-providers-cloudant on PyPI

pip install apache-airflow-providers-cloudant

uv add apache-airflow-providers-cloudant

poetry add apache-airflow-providers-cloudant

Installing apache-airflow-providers-cloudant

Before you install

Low install friction with a pure-Python wheel. Actively maintained with a recent release; requires Apache Airflow >=2.11.0 and ibmcloudant >=0.10.0 as runtime dependencies.

License in practice

Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions.

Quickstart

pip install apache-airflow-providers-cloudant

from airflow.providers.cloudant.operators import CloudantOperator
from airflow import DAG

with DAG('cloudant_example') as dag:
    task = CloudantOperator(task_id='read_cloudant')

Requires Apache Airflow >=2.11.0 and Python >=3.10 to be installed first.

Verify before relying

• Whether the package includes hooks for custom Cloudant operations beyond built-in operators.
• Specific Cloudant API versions or features supported by ibmcloudant >=0.10.0.
• Whether authentication methods (API keys, service credentials) are documented in the provider.

Package facts

Evidence: apache_airflow_providers_cloudant-4.3.5-py3-none-any.whl

Keywords: airflow-provider, cloudant, airflow, integration

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