Home / Compare / Trigger.dev vs Dagster

Trigger.dev vs Dagster

AI Automation tools comparison · Updated 2026

Choosing between Trigger.dev and Dagster? Both are popular AI Automation tools. Trigger.dev starts at Freemium and focuses on TypeScript SDK. Dagster starts at Freemium and specializes in Asset-centric orchestration. Here's a detailed side-by-side comparison to help you decide.

At a Glance

Trigger.dev Dagster
Category AI Automation AI Automation
Pricing freemium freemium
Starting Price Freemium Freemium
Best For developer-tools, background-jobs, open-source data-engineering, orchestration, python
Features 6 listed 6 listed

Trigger.dev

Open-source background jobs and workflows platform for TypeScript developers.

AI Automation freemium
Visit Trigger.dev → Alternatives
VS

Dagster

Open-source asset-centric data orchestration for building and managing data pipelines.

AI Automation freemium
Visit Dagster → Alternatives

Feature Comparison

Trigger.dev Dagster
✓ TypeScript SDK ✓ Asset-centric orchestration
✓ Long-running tasks ✓ Software-defined assets
✓ Automatic retries ✓ Built-in testing
✓ Real-time dashboard ✓ Observability
✓ Scheduling ✓ Partitions
✓ Open source ✓ Type system

Pricing Comparison

Trigger.dev

freemium

Free with 50K runs/mo. Hobby $29/mo. Pro $129/mo. Enterprise custom.

Dagster

freemium

Free open source. Dagster Cloud free tier. Plus from $100/mo. Pro custom pricing.

Pros & Cons

Trigger.dev

Pros
  • + Open source
  • + Great DX
  • + Generous free tier
  • + Active development
Cons
  • − TypeScript only
  • − Newer platform
  • − Limited integrations
  • − Self-hosting complexity

Dagster

Pros
  • + Asset-centric approach
  • + Excellent testing
  • + Strong type system
  • + Good documentation
Cons
  • − Learning curve
  • − Smaller ecosystem than Airflow
  • − Python-only
  • − Resource intensive

The Verdict

Both Trigger.dev and Dagster are strong AI Automation tools. Trigger.dev stands out for Open source, making it ideal if that's your priority. Dagster excels at Asset-centric approach, which may be more important for your workflow.

Related Topics

developer-toolsbackground-jobsopen-sourcetypescriptworkflowdata-engineeringorchestrationpython

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