Bench test · AI Automation
n8n vs Apache Airflow
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| n8n | Apache Airflow | |
|---|---|---|
| consensus | score8.5/10 | score8.6/10 |
| agents won | 0 / 4 | 2 / 4 ▲ |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Automation | AI Automation |
Agent panel — head to head
| Anthropic | 8.2 | 8.2 |
| OpenAI | 8.5 | 8.5 |
| Gemini | 8.8 | 9.3 ▲ |
| Grok | 8.3 | 8.5 ▲ |
n8n
- ✓Fully open-source with no vendor lock-in
- ✓Flexible deployment options and cost-effective
- ✓Extensive integrations and community support
- —Steeper learning curve than no-code alternatives
- —Requires technical knowledge for complex workflows
- —Smaller ecosystem compared to Zapier/Make
Visual workflow builder with drag-and-drop interface500+ pre-built integrations and connectorsSelf-hosted and cloud deployment optionsAI node support for LLM integrationCustom code execution in JavaScript/PythonWebhook and API triggers
Apache Airflow
- ✓Highly flexible and scalable for complex workflows
- ✓Strong community support and extensive documentation
- ✓No vendor lock-in with open-source availability
- —Steep learning curve for beginners
- —Requires significant infrastructure setup and maintenance
- —Can be resource-intensive for simple use cases
DAG-based workflow definition in PythonDynamic pipeline generation and schedulingRich web UI for monitoring and managementDistributed task execution across workersExtensive operator library for integrationsRetry logic and error handling
Custom · no free tier
Try n8n ▸Custom · no free tier
Try Apache Airflow ▸Verdict
Apache Airflow takes it — 8.6 to 8.5 (a photo finish).
The panel gave Apache Airflow the edge on 2 of 4 agents. It's close enough that n8n is a fair pick if it fits your workflow better.