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Activepieces vs Apache Airflow

A side-by-side comparison of Activepieces and Apache Airflow across 26 workflow orchestration capabilities. Activepieces fully supports 13 of them and Apache Airflow fully supports 13; of the 12 mandatory features, Activepieces covers 8 and Apache Airflow covers 11.

Activepieces

Activepieces is an open-source, self-hostable workflow automation platform and Zapier alternative with a no-code visual builder, hundreds of integrations ('pieces') and AI agent support.

Features fully supported13 / 26
Mandatory features: 8 / 12View profile

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

Feature comparison

10 of 26 capabilities differ between Activepieces and Apache Airflow.

Change tools
CapabilityActivepiecesApache Airflow
DAG-based workflow definition
Define dependencies and execution order
Mandatory		PartialYes
Code-first workflows
Versionable, testable workflows
Mandatory		NoYes
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		YesPartial
Backfills / replays
Reprocess historical data
Depends		NoYes
Idempotency support
Safe retries & replays
Mandatory		NoYes
Exactly-once semantics
Correctness for business workflows
Optional		NoNo
Long-running workflows (days/months)
Business processes, approvals
Depends		PartialNo
Human-in-the-loop steps
Approvals, manual actions
Optional		YesNo
Dynamic workflows at runtime
Conditional execution
Depends		YesPartial
Workflow versioning
Safe evolution over time
Recommended		YesNo
Distributed execution
Scalability
Mandatory		YesYes
High availability scheduler
Production reliability
Recommended		PartialPartial
Fault-tolerant execution
Crash safety
Mandatory		PartialPartial
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		PartialPartial
Multi-language SDKs
Polyglot systems
Optional		NoNo
Deterministic replay
Safe recovery & correctness
Optional		NoNo
Pluggable execution backends
Flexibility
Recommended		NoPartial

* 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.

ActivepiecesApache Airflow

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