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Head-to-head · Workflow Orchestration Software

Temporal vs Dagster

  • Updated Oct 2026
  • Both researched from official sources
  • 7 checks side by side
Higher score Temporal #8 in Workflow Orchestration Software 8.8/10 Free plan Free plan✓ 4 of 5 features Visit Temporal
Dagster #14 in Workflow Orchestration Software 8.2/10 Free plan · 30-day trial Free planFree trial✓ 3 of 5 features Visit Dagster

Temporal leads on 0 checks, Dagster on 1, and 6 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTemporal · 8.8/10
  • Lowest starting priceDagster · $10/mo
  • Free planboth
  • Free trialonly Dagster
  • Most featuresTemporal · 4 of 5

Temporal scores higher on our rubric for workflow orchestration software: 8.8 against 8.2 out of 10; our editors rank them #8 and #14.

Dagster is cheaper to start at $10/mo against $500/mo.

Temporal is the better fit for durable code-defined workflows. Dagster is the better fit for data asset and pipeline orchestration.

  • Temporal fits best

    Durable code-defined workflows

  • Dagster fits best

    Data asset and pipeline orchestration

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Side by side

Feature Temporal 8.8/10 Visit ↗ Dagster 8.2/10 Visit ↗
At a glance
Editor score 8.8 8.2
Ranking #8 in Workflow Orchestration Software #14 in Workflow Orchestration Software
Best for Durable code-defined workflows Data asset and pipeline orchestration
Pricing model Free plan + paid Free plan + paid
Starting price $500/mo $10/mo (best)
Free plan ✓ ✓
Free trial — 30 days
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Community, Docs · 24/7 Community, Docs, Live chat
Compliance SOC 2, GDPR, HIPAA, SSO/SAML SOC 2, GDPR
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Temporal 4/5 · Dagster 3/5
Visual workflow builder — —
Event triggers ✓ ✓
Automatic retries ✓ ✓
Execution observability ✓ ✓
Human approvals ✓ (best) Not checked yet
Specs
Deployment model Hybrid Hybrid
Our review
Pros
  • Durable execution persists history and resumes work after interruptions.
  • Retries, timers, signals, schedules, and approvals support complex processes.
  • Self-hosted and managed deployment options fit different operating models.
  • 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
  • Code-defined workflows are not a fit for teams seeking a visual builder.
  • Usage-based pricing can be harder to forecast than per-user plans.
  • Advanced support and response commitments require higher-tier plans.
  • 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

Temporal is an open-source platform for building and running durable workflows. Developers define workflows and activities in code through supported SDKs, while the platform persists execution state, records event history, handles…

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 →
  1. TemporalWorkflow Orchestration Software 8.8Free plan
  2. DagsterWorkflow Orchestration Software 8.2Free plan · 30-day trial

Strengths and trade-offs

  • Temporal — where it wins

    • Durable execution persists history and resumes work after interruptions.
    • Retries, timers, signals, schedules, and approvals support complex processes.
    • Self-hosted and managed deployment options fit different operating models.

    Where it doesn't

    • Code-defined workflows are not a fit for teams seeking a visual builder.
    • Usage-based pricing can be harder to forecast than per-user plans.
    • Advanced support and response commitments require higher-tier plans.
  • 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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update