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apache-airflow-providers-arangodb

Provider package apache-airflow-providers-arangodb for Apache Airflow

apache-airflow-providers-arangodb v2.9.6 193.5K downloads/30d#9,851 on PyPI46,490
Permissive license Apache-2.0 Active released

What it is and what it does

This is an Apache Airflow provider package that adds ArangoDB database integration to Airflow workflows. It supplies operators and hooks that let you execute ArangoDB queries, manage documents, and orchestrate database operations as tasks within Airflow DAGs. The package depends on apache-airflow (>=2.11.0), apache-airflow-providers-common-compat (>=1.10.1), and python-arango (>=7.3.2) to handle the actual database communication.

You install it on top of an existing Airflow instance to enable ArangoDB as a data source or target in your orchestrated pipelines. It supports Python 3.10 through 3.14 and is classified as Production/Stable. The package is actively maintained by the Apache Airflow project, with a release history dating back to April 2022.

Use it for:

  • Schedule and orchestrate ArangoDB queries as part of multi-step data pipelines in Airflow.
  • Extract data from ArangoDB and pass it downstream to other Airflow tasks for transformation.
  • Load or upsert data into ArangoDB collections as the final step of an ETL workflow.
  • Monitor ArangoDB operations and integrate them into Airflow's centralized workflow monitoring.
  • Build complex graph queries in ArangoDB and trigger them on a schedule via Airflow DAGs.

Worth the install?

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

Integrates ArangoDB with Apache Airflow, providing operators and hooks to query and manage ArangoDB databases within Airflow DAGs.

Yes, if you run Airflow and need to integrate ArangoDB into your data pipelines. The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive Apache-2.0 license. Confirm your Airflow version meets >=2.11.0 and Python is >=3.10 before installing.

Install

apache-airflow-providers-arangodb on PyPI

pip

pip install apache-airflow-providers-arangodb

uv

uv add apache-airflow-providers-arangodb

poetry

poetry add apache-airflow-providers-arangodb

Installing apache-airflow-providers-arangodb

Before you install

Low install friction; pure Python wheel. Requires apache-airflow >=2.11.0, apache-airflow-providers-common-compat >=1.10.1, and python-arango >=7.3.2. Package is actively maintained with a release 6 days old.

License in practice

Apache-2.0 permissive license; safe for commercial and proprietary use with standard attribution.

Quickstart

pip install apache-airflow-providers-arangodb

from airflow.providers.arangodb.operators.arangodb import ArangoDBOperator
from airflow import DAG

with DAG('my_dag') as dag:
    task = ArangoDBOperator(task_id='query_arangodb', ...)

Requires Apache Airflow >=2.11.0 and Python >=3.10; ArangoDB server must be accessible at runtime.

Verify before relying

  • Specific operators and hooks available beyond basic query execution
  • Whether connection pooling or batch operations are supported
  • Performance characteristics with large result sets or complex queries

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 3 — apache-airflow, apache-airflow-providers-common-compat, python-arango
Maintenance actively maintained — 6 days since the last release
Last repo commit
First released
Downloads 193,456/month — #9,851 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: apache_airflow_providers_arangodb-2.9.6-py3-none-any.whl

Keywords: airflow-provider, arangodb, airflow, integration

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

Tags

airflow arangodb integrationarangodb provider airflowairflow database operatorsarangodb dag tasksairflow data pipeline arangodbarangodb airflow hooksworkflow orchestration arangodb
airflow-providerarangodb-integrationworkflow-orchestration

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