dbt Labs vs Prefect Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Developer
- Browser-based IDE
- Multi-factor authentication (MFA)
- Job scheduling
- Keep on the latest dbt release
Starter
- dbt Catalog basic
- dbt Semantic Layer basic
- dbt Copilot code generation
- API access
Enterprise
- dbt Catalog advanced
- dbt Semantic Layer advanced
- dbt Copilot
- dbt Canvas
- dbt Insights
- dbt Mesh
Enterprise+
- PrivateLink
- IP Restrictions
- Rollback
- Hybrid projects
Hobby
- Workflow scheduling
- 2 users
- Up to 5 deployments
- 500 min of Prefect Serverless
- Workflow observability
- Logging & alerting
- 7 days run retention
Starter
- 3 users
- Up to 20 deployments
- 75 hours of Prefect Serverless
- Bring your own compute
- Webhooks
- 1,250 API requests/min
Team
- 4-8 users
- Up to 100 deployments
- 225 hours of Prefect Serverless
- Service accounts
- 24 hour audit log
- 50 automations
Pro
- 5-20 users
- Up to 1,000 deployments
- 250 hours of Prefect Serverless
- Multiple workspaces
- SSO (SAML/OIDC)
- Basic RBAC
Enterprise
- 5+ users
- Unlimited deployments
- Custom Prefect Serverless
- RBAC + ACLs
- Directory Sync (SCIM)
- IP allowlisting & PrivateLink
dbt Labs vs Prefect FAQ
- Which one is cheaper?
- They both start at the same price — $100/mo. The difference is in what you get at each tier.
- Can I use either one for free?
- Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
- How do they charge?
- Different approach here. dbt Labs uses per-seat pricing, while Prefect goes with hybrid. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. dbt Labs: At $100/seat, they're not cheap — that's squarely mid-to-premium for a data transformation tool, putting them above scrappier open-source-first competitors but below full-stack data platform pricing. They're clearly targeting data-mature teams at growth-stage and enterprise companies, not early-stage shops watching every dollar. Prefect: They're positioned in the mid-market sweet spot — not trying to undercut Airflow's self-hosted free tier, but not as aggressively priced as Dagster Cloud or as enterprise-heavy as Astronomer. The $100/user/mo Team tier targets growing data engineering teams who've outgrown DIY orchestration but aren't ready for a six-figure platform deal.
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