Dagster vs Tableau Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Dagster Tableau
Starts at $10/mo $15/mo
Number of plans 3 4
Free plan
Free trial
Pricing model hybrid hybrid

Solo Plan

$10/mo
  • 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

$100/mo
  • 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
  • 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

Tableau Standard

$15/mo
  • Author, govern, and collaborate with browser-based web authoring
  • Tableau Desktop and Prep Builder
  • Tableau Pulse

Tableau Enterprise

$35/mo
  • Advanced Management and Data Management
  • 10 sites and eLearning

Tableau Cloud+

Custom
  • Tableau Agent in Tableau Cloud and Pulse
  • Premier Success, 50 sites, and Release Preview access

Tableau+ Bundle

Custom
  • Tableau Next

Dagster vs Tableau FAQ

Which one is cheaper?
Dagster starts lower at $10/mo, compared to $15/mo for Tableau.
Can I use either one for free?
Neither has a free plan. But Dagster offers a free trial.
How do they charge?
Both use a hybrid model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Dagster: 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. Tableau: This sits mid-to-premium in the BI space — pricier than lightweight tools like Looker Studio, but positioned to compete with Power BI on capability rather than cost. Locking annual contracts with zero monthly flexibility signals they're chasing enterprise budgets, not scrappy teams testing the waters.

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