AWS Step Functions vs Dagster

AWS Step Functions9.3Visit Dagster8.2Visit

Higher score AWS Step Functions #1 in Workflow Orchestration Software 9.3/10 Free plan Free plan✓ 5 of 5 features Visit site

vs

Dagster #14 in Workflow Orchestration Software 8.2/10 Free plan · 30-day trial Free planFree trial✓ 3 of 5 features Visit Dagster

• AWS Step Functions fits best

  AWS-native cloud orchestration

• Dagster fits best

  Data asset and pipeline orchestration

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Side by side

Feature	AWS Step Functions 9.3/10 Visit ↗	Dagster 8.2/10 Visit ↗
At a glance
Editor score	9.3	8.2
Ranking	#1 in Workflow Orchestration Software	#14 in Workflow Orchestration Software
Best for	AWS-native cloud orchestration	Data asset and pipeline orchestration
Pricing model	Free plan + paid	Free plan + paid
Starting price	$1/unit usage-based	$10/mo
Free plan	✓	✓
Free trial	—	30 days
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Community, Docs, Live chat
Integrations	220+ integrations	13 integrations
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features AWS Step Functions 5/5 · Dagster 3/5
Visual workflow builder	✓ (best)	—
Event triggers	✓	✓
Automatic retries	✓	✓
Execution observability	✓	✓
Human approvals	✓ (best)	Not checked yet
Specs
Deployment model	Cloud	Hybrid
Our review
Pros	Visual state-machine design with branching, parallelism, retries, and approvals Deep integrations across AWS services and HTTPS endpoints Execution history, visual debugging, and CloudWatch Logs integration	Asset lineage, dependencies, partitions, backfills, and freshness policies Execution logs, run history, health dashboards, and observability Integrations with dbt, Snowflake, Databricks, Spark, and Fivetran
Cons	Cloud deployment model limits use outside AWS-hosted environments Standard Workflows charge for state transitions, including retries Express Workflows target executions lasting up to five minutes	No visual workflow builder for drag-and-drop pipeline design Solo is limited to 1 user, 1 code location, and 1 deployment Pro requires contact with sales and adds a less transparent buying step
Our verdict	AWS Step Functions is a managed workflow orchestration service for coordinating distributed applications, microservices, data-processing jobs, machine-learning pipelines, and IT automation. It suits teams building on AWS that need visual… Read the review →	Dagster is a data orchestration framework and platform for teams building analytics, machine learning, AI, ingestion, transformation, and other production data workflows. Its asset-based model connects data assets with dependencies,… Read the review →

Strengths and trade-offs

• AWS Step Functions — where it wins

  • Visual state-machine design with branching, parallelism, retries, and approvals
  • Deep integrations across AWS services and HTTPS endpoints
  • Execution history, visual debugging, and CloudWatch Logs integration

  Where it doesn't

  • Cloud deployment model limits use outside AWS-hosted environments
  • Standard Workflows charge for state transitions, including retries
  • Express Workflows target executions lasting up to five minutes

• Dagster — where it wins

  • Asset lineage, dependencies, partitions, backfills, and freshness policies
  • Execution logs, run history, health dashboards, and observability
  • Integrations with dbt, Snowflake, Databricks, Spark, and Fivetran

  Where it doesn't

  • No visual workflow builder for drag-and-drop pipeline design
  • Solo is limited to 1 user, 1 code location, and 1 deployment
  • Pro requires contact with sales and adds a less transparent buying step

• AWS Step Functions9.3/10 · Free plan

  A strong AWS-native choice for state-machine orchestration and event-driven automation.

  Visit siteFull verdict →
• Dagster8.2/10 · Free plan · 30-day trial

  A focused orchestration platform for asset-aware data engineering teams.

  Visit DagsterFull verdict →