FlowHub
Mage logo
vs
Prefect logo

Mage vs Prefect

A side-by-side comparison of Mage and Prefect across 26 workflow orchestration capabilities. Mage fully supports 14 of them and Prefect fully supports 12; of the 12 mandatory features, Mage covers 7 and Prefect covers 8.

Mage

Mage is an open-source data pipeline tool for transforming and integrating data, combining a notebook-style editor with modular, testable code blocks in Python, SQL and R.

Features fully supported14 / 26
Mandatory features: 7 / 12View profile

Prefect

Prefect is a Python-native open-source workflow orchestration and automation tool, enabling you to author, schedule, and monitor data pipelines as code.

Features fully supported12 / 26
Mandatory features: 8 / 12View profile

Feature comparison

10 of 26 capabilities differ between Mage and Prefect.

Change tools
CapabilityMagePrefect
DAG-based workflow definition
Define dependencies and execution order
Mandatory		YesYes
Code-first workflows
Versionable, testable workflows
Mandatory		YesYes
Declarative workflow model
Predictability, reproducibility
Mandatory		PartialPartial
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		YesPartial
Scheduling (cron / time-based)
Automated recurring workflows
Depends		YesYes
Event-driven execution
React to external systems
Depends		YesYes
Backfills / replays
Reprocess historical data
Depends		YesPartial
Idempotency support
Safe retries & replays
Mandatory		PartialNo
Exactly-once semantics
Correctness for business workflows
Optional		NoNo
Long-running workflows (days/months)
Business processes, approvals
Depends		NoPartial
Human-in-the-loop steps
Approvals, manual actions
Optional		NoPartial
Dynamic workflows at runtime
Conditional execution
Depends		YesYes
Workflow versioning
Safe evolution over time
Recommended		PartialPartial
Distributed execution
Scalability
Mandatory		PartialYes
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		YesPartial
Task isolation
Failure containment
Mandatory		PartialYes
Native Kubernetes support
Modern infra compatibility
Depends		YesPartial
Multi-language SDKs
Polyglot systems
Optional		PartialNo
Deterministic replay
Safe recovery & correctness
Optional		NoNo
Pluggable execution backends
Flexibility
Recommended		YesYes

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

Spotted an inaccuracy? contact@workflows.guru

Learn more

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

MagePrefect

Related comparisons