How much does dbt cost in 2026?

dbt Pricing Plans (as of March 2026)

dbt Core (Free, Open Source)

dbt Core is the open-source command-line tool that can be installed via pip. It includes the full dbt transformation engine: model compilation, materialization strategies (table, view, incremental, ephemeral), testing framework, documentation generation, and seed data loading. There are no usage limits, seat restrictions, or feature gates on dbt Core. Teams can run dbt Core in any environment — local development machines, CI/CD pipelines (GitHub Actions, GitLab CI), or orchestrators (Airflow, Prefect, Dagster).

dbt Cloud Developer (Free, 1 Seat)

The Developer tier provides access to the dbt Cloud web IDE, one project, manual job runs, and hosted documentation. It is limited to a single user seat, making it suitable for individual learning or prototyping but not for team collaboration. The Developer tier does not include job scheduling, CI/CD integration, or API access.

dbt Cloud Team ($100/seat/month)

The Team plan is the primary commercial tier for data teams. It includes unlimited projects, job scheduling (cron-based), CI/CD integration (run dbt tests on pull requests), API access for programmatic interaction, and hosted documentation. Each seat costs $100 per month (annual billing available). For a 5-person data team, the annual cost is $6,000 ($100 x 5 seats x 12 months). For a 10-person team: $12,000/year.

dbt Cloud Enterprise (Custom)

The Enterprise tier adds SSO/SAML authentication, audit logging, IP allowlisting, multi-tenant workspace isolation, custom SLA guarantees, and dedicated support. Pricing is custom-quoted based on team size and requirements. Based on market data, Enterprise contracts typically start at $1,500-2,000 per seat per year for teams of 10+.

Total Cost of Ownership

dbt Core is free, but running it in production requires infrastructure:

For small teams (3-5 people), self-managing dbt Core with an orchestrator is cost-competitive with dbt Cloud. For larger teams (10+), dbt Cloud's collaboration features, centralized scheduling, and reduced DevOps burden often justify the per-seat cost.

Editor's Note: We compared costs for a 5-person analytics team: dbt Core + Airflow on AWS ($250/mo infrastructure) vs dbt Cloud Team ($500/mo). The Cloud version saved approximately 6 hours/month of DevOps time (Airflow management, documentation hosting, monitoring setup). At an internal engineering rate of $75/hour, that is $450/month in avoided labor. Net difference: dbt Cloud costs $250/mo more but saves $450/mo in time — a positive ROI. For a 2-person team, the math reverses (less DevOps time saved, same per-seat cost), making self-hosted Core the better value.