Dagster logo
vs
Elsa Workflows logo

Dagster vs Elsa Workflows

A side-by-side comparison of Dagster and Elsa Workflows across 26 workflow orchestration capabilities. Dagster fully supports 12 of them and Elsa Workflows fully supports 22; of the 12 mandatory features, Dagster covers 10 and Elsa Workflows covers 11.

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

Elsa Workflows

Elsa Workflows is an open-source .NET workflow library that enables developers to build workflows using code, JSON, or a visual designer, with strong support for long-running and event-driven processes.

Features fully supported22 / 26
Mandatory features: 11 / 12View profile

Feature comparison

12 of 26 capabilities differ between Dagster and Elsa Workflows.

Change tools
CapabilityDagsterElsa Workflows
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
PartialYes
Event-driven execution
React to external systems
Depends
PartialYes
Backfills / replays
Reprocess historical data
Depends
PartialPartial
Idempotency support
Safe retries & replays
Mandatory
PartialPartial
Exactly-once semantics
Correctness for business workflows
Optional
YesNo
Long-running workflows (days/months)
Business processes, approvals
Depends
PartialYes
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
PartialYes
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
NoYes
Deterministic replay
Safe recovery & correctness
Optional
NoNo
Pluggable execution backends
Flexibility
Recommended
PartialYes

* 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.