Dagster Pricing (2026)
You're paying a base subscription fee plus consumption on top — Dagster charges for compute/usage credits layered onto a flat monthly platform fee, so the real cost scales with how much orchestration you're actually running, not headcount. That $10/$100 sticker price is really just the entry ticket; your bill grows with pipeline volume and runtime.
- Solo Plan
- $10/mo
- Starter Plan
- $100/mo
- Pro Plan
- Contact Sales
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Solo Plan
- Pay-as-you-go $0.040/credit
- Serverless compute $0.010/minute
- 1 User
- 1 Code location
- 1 Deployment
- 30-day free trial
- Asset-based orchestration
- Workflow-based orchestration
- Local development workflow (dg CLI)
- Components
- Declarative Automation
- Partitions and backfills
- Branch deployments
- Virtual assets (Preview)
- Asset checks
- Freshness policies (new API, now GA)
- Integration with dbt tests
- Asset Health status
- Asset metadata in UI
- Asset-level lineage
- Platform and pipeline metrics (30-day lookback)
- Materialization success rate, failure count, step execution time
- Metrics-based alerts
- Dagster skills for Claude Code, Cursor, Codex (open source)
- Dagster+ MCP server (Preview)
- Alerts: email, Slack, Microsoft Teams
- Alert policy types: asset, run, code location, automation, agent downtime
- Serverless deployments
- Hybrid deployments — ECS, Kubernetes, Docker, Azure, local
- Terraform and Pulumi providers
- SOC 2 Type II
- GDPR
- Data portability
- Dagster community
- Support Center and Ask AI
- Billing support
Starter Plan
- Pay-as-you-go $0.035/credit
- Serverless compute $0.010/minute
- Up to 3 Users
- 5 Code locations
- 1 Deployment
- Catalog Search
- 30-day free trial
- Asset-based orchestration
- Workflow-based orchestration
- Local development workflow (dg CLI)
- Components
- Declarative Automation
- Partitions and backfills
- Branch deployments
- Virtual assets (Preview)
- Asset checks
- Freshness policies (new API, now GA)
- Integration with dbt tests
- Asset Health status
- Asset metadata in UI
- Asset-level lineage
- Data Column Lineage
- Catalog search
- Platform and pipeline metrics (30-day lookback)
- Materialization success rate, failure count, step execution time
- Metrics-based alerts
- Dagster skills for Claude Code, Cursor, Codex (open source)
- Dagster+ MCP server (Preview)
- Alerts: email, Slack, Microsoft Teams
- Alert policy types: asset, run, code location, automation, agent downtime
- Role-based access control
- RBAC scope: Per deployment
- Assignable roles: View, Catalog Viewer, Launcher, Editor, Admin
- Serverless deployments
- Hybrid deployments — ECS, Kubernetes, Docker, Azure, local
- Terraform and Pulumi providers
- SOC 2 Type II
- GDPR
- Data portability
- Dagster community
- Support Center and Ask AI
- Billing support
Pro Plan
- Custom Serverless compute
- Unlimited code locations
- Unlimited deployments
- Cost Tracking and Insights
- Personalized Onboarding Support
- Private Slack channel
- Uptime SLAs
- Custom Security Questionnaires
- Asset-based orchestration
- Workflow-based orchestration
- Local development workflow (dg CLI)
- Components
- Declarative Automation
- Partitions and backfills
- Branch deployments
- Virtual assets (Preview)
- Asset checks
- Freshness policies (new API, now GA)
- Integration with dbt tests
- Asset Health status
- Asset metadata in UI
- Asset-level lineage
- Data Column Lineage
- Catalog search
- BI Tool Cataloguing
- Connections (Preview)
- Platform and pipeline metrics (30-day lookback)
- Materialization success rate, failure count, step execution time
- Metrics-based alerts
- Custom metrics from asset metadata
- Cost tracking for BigQuery and Snowflake
- Dagster skills for Claude Code, Cursor, Codex (open source)
- Dagster+ AI chat
- Issues
- AI proactive monitoring and auto implement
- Dagster+ MCP server (Preview)
- Alerts: email, Slack, Microsoft Teams
- Alert policy types: asset, run, code location, automation, agent downtime
- Webhook alerts
- PagerDuty and Datadog
- Alerting asset owners
- Role-based access control
- RBAC scope: Granular roles, per project
- Assignable roles: View, Catalog Viewer, Launcher, Editor, Admin
- SSO
- SAML
- SCIM provisioning — Okta, Entra ID
- Audit logs
- Serverless deployments
- Hybrid deployments — ECS, Kubernetes, Docker, Azure, local
- Terraform and Pulumi providers
- Agent queues — multi-agent routing, multi-region failover
- EU data residency (Dagster+ EU)
- SIEM log export
- SOC 2 Type II
- GDPR
- Data portability
- HIPAA
- Custom security questionnaires
- Dagster community
- Support Center and Ask AI
- Billing support
- Dedicated Slack or Microsoft Teams channel
- Premium support
- Uptime SLAs
Does Dagster have a free plan?
No. There's no free-forever plan. There is a free trial that lasts 30 days, and paid plans start at $10/mo.
Want free? Airbyte, Census, and dbt Labs have free plans: see all Dagster alternatives →
AI Pricing Analysis
Pricing Model
You're paying a base subscription fee plus consumption on top — Dagster charges for compute/usage credits layered onto a flat monthly platform fee, so the real cost scales with how much orchestration you're actually running, not headcount. That $10/$100 sticker price is really just the entry ticket; your bill grows with pipeline volume and runtime.
Tier Strategy
Solo is built for a single developer or tiny team kicking the tires on data orchestration, while Starter targets small teams that need more credits and probably more collaboration features baked in. The jump to Pro happens when usage credits alone don't cover it anymore — you need SSO, dedicated support, custom SLAs, or governance controls that only sales can price out.
Competitive Positioning
At $10 and $100 entry points, Dagster undercuts most orchestration and data platform competitors that charge per-seat or start pricing conversations well north of $500/mo. They're clearly fishing for indie developers and small data teams who'll self-serve now and hopefully graduate into Pro as pipelines multiply.
Growth Lever
Usage credits are the real lever here — as your pipeline runs, compute, and data volume grow, you burn through credits faster and the bill climbs even before you touch a new tier. Enterprise-grade needs like custom support, security, and scale-specific guarantees are walled off in Pro, forcing a sales conversation once you outgrow self-serve entirely.
Want the strategist's read on the live page? Read the AI teardown of Dagster's pricing page →
Dagster Pricing FAQ
- How much does Dagster cost?
- Paid plans start at $10/mo, going up to $100/mo for larger teams. There's also an Enterprise tier with custom pricing.
- Is there a free plan?
- No free plan. But there is a free trial, so you can test it out before paying.
- Can I try it before paying?
- Yes — there's a free trial that lasts 30 days.
- How does the pricing work?
- You're paying a base subscription fee plus consumption on top — Dagster charges for compute/usage credits layered onto a flat monthly platform fee, so the real cost scales with how much orchestration you're actually running, not headcount. That $10/$100 sticker price is really just the entry ticket; your bill grows with pipeline volume and runtime.
- Which plan makes sense for me?
- Solo is built for a single developer or tiny team kicking the tires on data orchestration, while Starter targets small teams that need more credits and probably more collaboration features baked in. The jump to Pro happens when usage credits alone don't cover it anymore — you need SSO, dedicated support, custom SLAs, or governance controls that only sales can price out.
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Comparing Dagster to something specific? Try Dagster vs Airbyte, Dagster vs Astronomer, or Dagster vs Census. Or see the best Dagster alternatives, ranked.
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