dbt Labs Pricing (2026)

It's a three-way blend: free for solo devs, flat per-seat for small teams ($100/user/month on Starter), and usage-based DATT (dbt Automated Testing Tokens?) consumption at $0.094 each once you're on Enterprise. So the real cost driver shifts from headcount to how much you're actually running through dbt's orchestration layer as you scale.

From $100/mo 4 plans hybrid Free plan Free trial Best dbt Labs alternatives → dbt Labs's competitors →
Developer
$0/mo
Starter
$100/mo
Enterprise
Contact Sales
Enterprise+
Contact Sales
Verified Aug 05, 2026 Official pricing page
Screenshot of dbt Labs's pricing page showing its plans and prices
Their pricing page, captured Aug 05, 2026

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Developer

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

Starter

$100/mo
  • dbt Catalog basic
  • dbt Semantic Layer basic
  • dbt Copilot code generation
  • API access

Enterprise

Contact Sales
  • dbt Catalog advanced
  • dbt Semantic Layer advanced
  • dbt Copilot
  • dbt Canvas
  • dbt Insights
  • dbt Mesh

Enterprise+

Contact Sales
  • PrivateLink
  • IP Restrictions
  • Rollback
  • Hybrid projects

Does dbt Labs have a free plan?

Yes: the Developer plan is free forever, not a time-limited trial. When you outgrow it, paid plans start at $100/mo. Paid tiers also come with a free trial (14 days).

What the free plan includes

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

AI Pricing Analysis

Pricing Model

It's a three-way blend: free for solo devs, flat per-seat for small teams ($100/user/month on Starter), and usage-based DATT (dbt Automated Testing Tokens?) consumption at $0.094 each once you're on Enterprise. So the real cost driver shifts from headcount to how much you're actually running through dbt's orchestration layer as you scale.

Tier Strategy

Developer is the bait — free forever for a single person poking around or building locally. Starter fits small teams that need collaboration and scheduling but aren't running serious production workloads. The jump to Enterprise happens the moment you need SSO, RBAC, or your DATT usage climbs high enough that custom pricing (with volume discounts) beats paying per-token at list rate.

Competitive Positioning

dbt Labs sits mid-to-premium — pricier than scrappy open-source-first competitors but justified by being the category creator with the deepest ecosystem lock-in. They're not competing on price; they're betting that being the default choice for analytics engineering teams lets them charge for governance and scale features once you're hooked.

Growth Lever

The paywall hides the stuff platform teams actually need: environment separation, access controls, and audit logs — not core transformation logic. But the sneakier expansion lever is usage-based DATT pricing, which means your bill grows quietly as your data models and job runs multiply, even if your seat count stays flat.

Want the strategist's read on the live page? Read the AI teardown of dbt Labs's pricing page →

dbt Labs Pricing FAQ

How much does dbt Labs cost?
Paid plans start at $100/mo. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
Is there a free plan?
Yes. The "Developer" plan is free forever, not just a trial. You get browser-based ide, multi-factor authentication (mfa), job scheduling — plus 1 more features. It's enough to evaluate the product before upgrading.
Can I try it before paying?
Yes — there's a free trial that lasts 14 days.
How does the pricing work?
It's a three-way blend: free for solo devs, flat per-seat for small teams ($100/user/month on Starter), and usage-based DATT (dbt Automated Testing Tokens?) consumption at $0.094 each once you're on Enterprise. So the real cost driver shifts from headcount to how much you're actually running through dbt's orchestration layer as you scale.
Which plan makes sense for me?
Developer is the bait — free forever for a single person poking around or building locally. Starter fits small teams that need collaboration and scheduling but aren't running serious production workloads. The jump to Enterprise happens the moment you need SSO, RBAC, or your DATT usage climbs high enough that custom pricing (with volume discounts) beats paying per-token at list rate.

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