apache-airflow-providers-arangodb
Provider package apache-airflow-providers-arangodb for Apache Airflow
Decision gist · record as of 2026-08-14
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.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; ArangoDB server must be accessible at runtime.
- 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.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license; safe for commercial and proprietary use with standard attribution.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 193,456 downloads/mo, #9,851 on PyPI
Alternatives
Verify before relying
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', ...)- 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
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 on it.
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
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.
Requires Apache Airflow >=2.11.0 and Python >=3.10; ArangoDB server must be accessible at runtime.
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', ...)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 packagesapache-airflowapache-airflow-providers-common-compatpython-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 |
| 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_arangodb-2.9.6-py3-none-any.whl
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See also apache-airflow-providers-neo4j · apache-airflow-providers-tableau · apache-airflow-providers-apache-cassandra · apache-airflow-providers-opensearch · apache-airflow-providers-apache-kylin · apache-airflow-providers-ydb · apache-airflow-providers-elasticsearch · apache-airflow-providers-cloudant · apache-airflow-providers-weaviate · apache-airflow-providers-docker