

Mage vs Restate
A side-by-side comparison of Mage and Restate across 26 workflow orchestration capabilities. Mage fully supports 14 of them and Restate fully supports 20; of the 12 mandatory features, Mage covers 7 and Restate covers 10.
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.
Restate
Restate is a lightweight durable execution runtime for building resilient services, workflows and AI agents, with SDKs for TypeScript, Java, Kotlin, Python, Go and Rust.
Feature comparison
16 of 26 capabilities differ between Mage and Restate.
| Capability | Importance* | ||
|---|---|---|---|
DAG-based workflow definition Define dependencies and execution order Mandatory | Mandatory | Yes | No |
Code-first workflows Versionable, testable workflows Mandatory | Mandatory | Yes | Yes |
Declarative workflow model Predictability, reproducibility Mandatory | Mandatory | Partial | No |
Task dependency resolution Correct execution order Mandatory | Mandatory | Yes | Yes |
Persistent workflow state Crash recovery, observability Mandatory | Mandatory | Yes | Yes |
Task retries Handle transient failures Mandatory | Mandatory | Yes | Yes |
Retry policies (backoff, limits) Avoid cascading failures Recommended | Recommended | Yes | Yes |
Scheduling (cron / time-based) Automated recurring workflows Depends | Depends | Yes | Partial |
Event-driven execution React to external systems Depends | Depends | Yes | Yes |
Backfills / replays Reprocess historical data Depends | Depends | Yes | No |
Idempotency support Safe retries & replays Mandatory | Mandatory | Partial | Yes |
Exactly-once semantics Correctness for business workflows Optional | Optional | No | Partial |
Long-running workflows (days/months) Business processes, approvals Depends | Depends | No | Yes |
Human-in-the-loop steps Approvals, manual actions Optional | Optional | No | Yes |
Dynamic workflows at runtime Conditional execution Depends | Depends | Yes | Yes |
Workflow versioning Safe evolution over time Recommended | Recommended | Partial | Yes |
Distributed execution Scalability Mandatory | Mandatory | Partial | Yes |
High availability scheduler Production reliability Recommended | Recommended | Partial | Yes |
Fault-tolerant execution Crash safety Mandatory | Mandatory | Partial | Yes |
Observability (logs, states, UI) Debugging & ops Mandatory | Mandatory | Yes | Yes |
Workflow-level visibility Understand end-to-end runs Mandatory | Mandatory | Yes | Yes |
Task isolation Failure containment Mandatory | Mandatory | Partial | Yes |
Native Kubernetes support Modern infra compatibility Depends | Depends | Yes | Yes |
Multi-language SDKs Polyglot systems Optional | Optional | Partial | Yes |
Deterministic replay Safe recovery & correctness Optional | Optional | No | Yes |
Pluggable execution backends Flexibility Recommended | Recommended | Yes | No |
* 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.
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