How much does dbt cost in 2026?
Quick Answer: dbt Core is free and open source (Apache-2.0). dbt Cloud (verified July 2026): a free Developer plan (1 seat, 3,000 models/month, 1 project), Starter at $100/developer-seat/month (5 seats included, 15,000 models/month, adds Catalog, Semantic Layer, dbt Copilot, and API access), and custom Enterprise and a new Enterprise+ tier (unlimited projects, PrivateLink, IP restrictions). The former "Team" tier is now "Starter"; billing is per seat plus usage (successful models built and queried metrics).
dbt Pricing Plans (as of July 2026)
| Plan | Price | Key Limits |
|---|---|---|
| dbt Core | Free (Apache-2.0) | Self-hosted CLI, no usage limits, no hosted features |
| dbt Cloud Developer | Free (1 seat) | 3,000 models/mo, 1 project, browser IDE, scheduling |
| dbt Cloud Starter | $100/developer-seat/mo (5 seats included) | 15,000 models/mo, 5,000 queried metrics/mo, 1 project; Catalog + Semantic Layer (basic), Copilot, API |
| dbt Cloud Enterprise | Custom | 100k models/mo, 30 projects; advanced Catalog + Semantic Layer, Mesh, Insights |
| dbt Cloud Enterprise+ | Custom (new) | Unlimited projects; PrivateLink, IP restrictions, Rollback, Hybrid projects |
Two 2026 changes: the former "Team" plan is now "Starter" ($100/seat with 5 seats included and 15,000 successful models/month), and a new Enterprise+ tier sits above Enterprise (mainly unlimited projects and additional security like PrivateLink and IP restrictions). Billing is per developer seat plus usage — measured in successful models built and queried metrics. A 14-day fully-featured Starter trial is available.
dbt Core (free, open source)
dbt Core is the open-source CLI (installable via pip), with the full transformation engine, testing framework, and documentation generation, and no usage limits. It runs anywhere — local machines, CI/CD, or orchestrators (Airflow, Prefect, Dagster). Costs are only the infrastructure to run it.
Total cost of ownership
| Component | Self-managed (Core) | dbt Cloud (Starter) |
|---|---|---|
| dbt tool | $0 | $100/seat/mo (5 incl.) |
| Orchestrator | $200-500/mo (Airflow) | Included |
| Documentation, monitoring | Self-hosted | Included |
| 5-person team total | ~$200-500/mo | $500/mo |
For small teams, self-managing dbt Core with an orchestrator is cost-competitive with dbt Cloud Starter; for larger teams, Cloud's collaboration, scheduling, and reduced DevOps burden usually justify the per-seat cost.
Editor's Note: We compared a 5-person analytics team on dbt Core + Airflow (~$250/mo infrastructure) against dbt Cloud, and Cloud saved roughly 6 hours a month of DevOps time (Airflow management, docs hosting, monitoring) — a positive ROI at that team size. Re-checked July 2026: the paid entry tier is now "Starter" at $100/seat with 5 seats included and a 15,000-model/month cap, and there is a new Enterprise+ tier for unlimited projects and PrivateLink — so model your monthly successful-model count against the tier caps, because that usage limit, not just the seat price, now shapes the bill. — Rafal Fila, ShadowGen
Related Questions
Related Tools
Airbyte
Open-source data integration platform for ELT pipelines with 400+ connectors
ETL & Data PipelinesAlteryx
Visual data analytics and automation platform for data preparation, blending, and advanced analytics without coding.
ETL & Data PipelinesApache Airflow
Programmatic authoring, scheduling, and monitoring of data workflows
ETL & Data PipelinesApify
Web scraping and browser automation platform with 2,000+ pre-built scrapers
ETL & Data PipelinesRelated Rankings
Best Automation Tools for Data Teams in 2026
A ranked list of the best automation and data pipeline tools for data teams in 2026. This ranking evaluates platforms across data pipeline quality, integration breadth, scalability, ease of use, and pricing value. Tools are assessed based on their ability to handle ETL/ELT workflows, data transformation, orchestration, and integration tasks that data engineers and analysts rely on daily. The ranking includes both dedicated data tools (Apache Airflow, Fivetran, Prefect) and general-purpose automation platforms (n8n, Make) that have developed strong data pipeline capabilities. Each tool is scored on a 10-point scale across five weighted criteria.
Best ETL & Data Pipeline Tools 2026
Our ranking of the top ETL and data pipeline tools for building reliable data workflows and transformations in 2026.
Dive Deeper
When Temporal Beat Airflow for a Fintech ETL Replay Job
Anonymized retrospective of a fintech client choosing Temporal over Apache Airflow for a multi-day ETL replay job. Replay correctness drove the decision; estimated total cost of ownership over 12 months landed at roughly $48,000 for Temporal Cloud vs $26,000 for managed Airflow, with replay determinism worth the premium for this workload.
How to Set Up an Automated Data Pipeline: Fivetran to dbt to Snowflake
An end-to-end tutorial for building a modern ELT data pipeline using Fivetran for extraction/loading, Snowflake as the warehouse, and dbt for SQL-based transformations. Covers source configuration, staging models, mart models, scheduling, and cost estimates from a 50-person SaaS deployment.
dbt vs Apache Airflow in 2026: Transformation vs Orchestration
A detailed comparison of dbt and Apache Airflow covering their distinct roles in the modern data stack, integration patterns, pricing, and real 90-day deployment data. Explains when to use each tool alone and when to use both together.