---
id: apache-airflow-providers-apache-tinkerpop
version: "1.1.4"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-apache-tinkerpop — Provider package apache-airflow-providers-apache-tinkerpop for Apache Airflow

License: permissive · Maintenance: active · Downloads: 486.0K/mo

## What it is and what it does

This is an Apache Airflow provider package that adds support for Apache TinkerPop graph computing framework and Gremlin graph traversal language. It allows you to orchestrate graph database operations (OLTP) and graph analytics (OLAP) as tasks within Airflow DAGs. The package wraps TinkerPop functionality through gremlinpython, letting you define and execute Gremlin queries as part of larger data workflows.

The provider is built on top of apache-airflow and apache-airflow-providers-common-compat, following Airflow's standard provider architecture. It targets developers and system administrators who need to integrate graph computing into their data pipelines, supporting Python 3.10 through 3.14. The package is actively maintained and carries no known security vulnerabilities.

Use it for:

- Orchestrate Gremlin queries against graph databases as part of multi-step data pipelines in Airflow.
- Schedule and monitor graph analytics jobs that traverse or analyze graph structures on a regular basis.
- Integrate graph database operations with other Airflow providers to build end-to-end data workflows.
- Automate graph data transformations and aggregations as dependencies in larger ETL processes.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Apache TinkerPop graph computing and Gremlin query language into Apache Airflow workflows, enabling orchestration of graph database and graph analytics operations.

Yes, if you are running Apache Airflow 2.11.0 or later and need to orchestrate TinkerPop graph operations. The package is actively maintained, carries no security vulnerabilities, installs with low friction, and is licensed permissively. Install only if you have a concrete need to integrate Gremlin queries or graph analytics into Airflow DAGs.

## Install

pip install apache-airflow-providers-apache-tinkerpop
uv add apache-airflow-providers-apache-tinkerpop
poetry add apache-airflow-providers-apache-tinkerpop

## Installing apache-airflow-providers-apache-tinkerpop

Before you install: Low friction installation as a pure Python wheel. Actively maintained with recent release and no known vulnerabilities. Requires Apache Airflow 2.11.0 or later and gremlinpython 3.8.0 or later.

License in practice: Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.

Quickstart:

pip install apache-airflow-providers-apache-tinkerpop

from airflow.providers.apache.tinkerpop import GremlinOperator

task = GremlinOperator(task_id='query', gremlin_script='g.V().count()')

Requires Apache Airflow 2.11.0 or later and Python 3.10 or later; a running TinkerPop-compatible graph database or Gremlin Server endpoint must be accessible.

Verify before relying:

- What specific graph databases and Gremlin Server versions are supported by this provider.
- Whether connection configuration and authentication methods are documented for different TinkerPop backends.
- Performance characteristics when orchestrating large-scale graph queries or analytics workloads.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 486.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow graph database integration, gremlin airflow provider, tinkerpop airflow orchestration, graph traversal airflow, airflow graph analytics, gremlin query orchestration, airflow graph computing, graph-database, airflow-provider, gremlin

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