Apache Airflow logo
vs
n8n logo

Apache Airflow vs n8n

A side-by-side comparison of Apache Airflow and n8n across 26 workflow orchestration capabilities. Apache Airflow fully supports 13 of them and n8n fully supports 17; of the 12 mandatory features, Apache Airflow covers 11 and n8n covers 9.

Apache Airflow

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It allows you to define workflows as code, making them more maintainable, versionable, testable, and collaborative.

Features fully supported13 / 26
Mandatory features: 11 / 12View profile

n8n

n8n is a workflow automation tool (fair-code) with a visual, node-based editor enabling you to automate tasks and integrate systems.

Features fully supported17 / 26
Mandatory features: 9 / 12View profile

Feature comparison

14 of 26 capabilities differ between Apache Airflow and n8n.

Change tools
CapabilityApache Airflown8n
DAG-based workflow definition
Define dependencies and execution order
Mandatory
YesPartial
Code-first workflows
Versionable, testable workflows
Mandatory
YesNo
Declarative workflow model
Predictability, reproducibility
Mandatory
YesYes
Task dependency resolution
Correct execution order
Mandatory
YesYes
Persistent workflow state
Crash recovery, observability
Mandatory
YesYes
Task retries
Handle transient failures
Mandatory
YesYes
Retry policies (backoff, limits)
Avoid cascading failures
Recommended
PartialPartial
Scheduling (cron / time-based)
Automated recurring workflows
Depends
YesYes
Event-driven execution
React to external systems
Depends
PartialYes
Backfills / replays
Reprocess historical data
Depends
YesNo
Idempotency support
Safe retries & replays
Mandatory
YesNo
Exactly-once semantics
Correctness for business workflows
Optional
NoNo
Long-running workflows (days/months)
Business processes, approvals
Depends
NoYes
Human-in-the-loop steps
Approvals, manual actions
Optional
NoYes
Dynamic workflows at runtime
Conditional execution
Depends
PartialYes
Workflow versioning
Safe evolution over time
Recommended
NoYes
Distributed execution
Scalability
Mandatory
YesYes
High availability scheduler
Production reliability
Recommended
PartialYes
Fault-tolerant execution
Crash safety
Mandatory
PartialYes
Observability (logs, states, UI)
Debugging & ops
Mandatory
YesYes
Workflow-level visibility
Understand end-to-end runs
Mandatory
YesYes
Task isolation
Failure containment
Mandatory
YesYes
Native Kubernetes support
Modern infra compatibility
Depends
PartialYes
Multi-language SDKs
Polyglot systems
Optional
NoPartial
Deterministic replay
Safe recovery & correctness
Optional
NoNo
Pluggable execution backends
Flexibility
Recommended
PartialNo

* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.

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Learn more

Read the full profiles, including pros and cons, installation and alternatives.