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vs
Dagster logo

Conductor vs Dagster

A side-by-side comparison of Conductor and Dagster across 26 workflow orchestration capabilities. Conductor fully supports 20 of them and Dagster fully supports 12; of the 12 mandatory features, Conductor covers 11 and Dagster covers 10.

Conductor

Conductor is an open-source, event-driven workflow orchestration engine originally built at Netflix to orchestrate microservices, now maintained as Conductor OSS for durable application and AI agent workflows.

Features fully supported20 / 26
Mandatory features: 11 / 12View profile

Dagster

Dagster is an open-source data orchestration platform that helps you build, deploy, and observe data pipelines and data assets.

Features fully supported12 / 26
Mandatory features: 10 / 12View profile

Feature comparison

10 of 26 capabilities differ between Conductor and Dagster.

Change tools
CapabilityConductorDagster
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
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
YesYes
Scheduling (cron / time-based)
Automated recurring workflows
Depends
PartialPartial
Event-driven execution
React to external systems
Depends
YesPartial
Backfills / replays
Reprocess historical data
Depends
PartialPartial
Idempotency support
Safe retries & replays
Mandatory
PartialPartial
Exactly-once semantics
Correctness for business workflows
Optional
NoYes
Long-running workflows (days/months)
Business processes, approvals
Depends
YesPartial
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
YesPartial
Distributed execution
Scalability
Mandatory
YesYes
High availability scheduler
Production reliability
Recommended
YesPartial
Fault-tolerant execution
Crash safety
Mandatory
YesPartial
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
YesNo
Deterministic replay
Safe recovery & correctness
Optional
NoNo
Pluggable execution backends
Flexibility
Recommended
YesPartial

* 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.