dbt Labs 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.

dbt Labs Tableau
Starts at $100/mo $15/mo
Number of plans 4 4
Free plan
Free trial
Pricing model hybrid hybrid

Developer

$0/mo
  • Browser-based IDE
  • Multi-factor authentication (MFA)
  • Job scheduling
  • Keep on the latest dbt release

Starter

$100/mo
  • dbt Wizard
  • dbt Catalog basic
  • dbt Semantic Layer basic
  • API access

Enterprise

Custom
  • dbt Catalog advanced
  • dbt Semantic Layer advanced
  • dbt Copilot advanced
  • dbt Canvas
  • dbt Insights
  • dbt Mesh

Enterprise+

Custom
  • PrivateLink
  • IP Restrictions
  • Rollback
  • Hybrid projects

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

dbt Labs vs Tableau FAQ

Which one is cheaper?
Tableau is the cheaper option, starting at $15/mo vs $100/mo for dbt Labs.
Can I use either one for free?
dbt Labs has a free plan. Tableau doesn't — you'll need to pay from day one.
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. dbt Labs: At $100/user/month, Starter isn't cheap for what's essentially a small-team tier — it signals dbt Labs is positioning as the premium standard in the analytics engineering space rather than competing on price. They're betting that teams already sold on dbt as a category (versus building it themselves) will pay up rather than shop around. 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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