dbt Labs
SQL-based data transformation platform with lineage tracking and automated refactoring
| What is it | SQL-based data transformation platform with lineage tracking and automated refactoring |
|---|---|
| Pricing | Freemium — from $100/mo |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Works with | Claude AI |
| Best for | building and maintaining data pipelines, ensuring data quality through testing and lineage |
| Domain registered | 2016 |
Data updated Aug. 1, 2026
What does dbt Labs do?
dbt Labs is the company behind dbt, the open standard for data transformation. It lets data teams write SQL-based transformations that are modular, tested, and version-controlled — similar to how software engineers build applications. You define models in SQL, and dbt compiles and runs them in your data warehouse. It handles dependency resolution, so you don't have to figure out the order of operations yourself. The platform also includes real-time validation, column-level lineage tracking, and automated refactoring that propagates changes across your project.
The standout feature is the interactive DAG (directed acyclic graph) that shows exactly how your data flows. You can drill down to individual columns to see where a field originates and how it's transformed. The Fusion engine adds stateful intelligence: it knows which models have changed and only rebuilds those, cutting warehouse costs by 30% or more. dbt integrates with Tableau, Fivetran, Snowflake, Databricks, OpenAI, and many other tools, and it never stores your data — everything runs in your own environment. Developers can work from their favorite IDE via extensions for Cursor, VS Code, Claude Code, and Windsurf.
dbt Labs is built for data analysts, data engineers, and analytics teams who need to deliver reliable, well-documented data pipelines at scale. Common use cases include transforming raw ingestion data into analytics-ready tables, maintaining data quality through automated testing, and reducing cloud spend by avoiding unnecessary recomputation. Companies like Nasdaq, Affirm, Toyota, and Siemens use dbt to speed up their analytics workflows and improve trust in their data.
Key features
What makes it stand outWho is dbt Labs for?
Who benefits most from this toolPricing
Free tier available — start without a credit cardDeveloper
- 1 projects
- 1 developer seats
- 3000 models per month
- 14-day free trial of Starter plan
- One Developer seat
- 3,000 successful models built per month
- 1 project
- Browser-based IDE
- Multi-factor authentication (MFA)
- Job scheduling
- Keep on the latest dbt release
Starter
Everything in Developer, plus:
- 1 projects
- 5 developer seats
- 15000 models per month
- 5000 queried metrics per month
- Five (5) developer seats
- 15,000 successful models built per month
- 5,000 queried metrics per month
- 1 project
- All features in Developer, plus:
- dbt Catalog basic
- dbt Semantic Layer basic
- dbt Copilot code generation
- API access
Enterprise
Everything in Starter, plus:
- 30 projects
- Custom developer seats
- 100000 models per month
- 20000 queried metrics per month
- Custom Developer seat count
- 100,000 successful models built per month
- 20,000 queried metrics per month
- 30 projects
- All features in Starter, plus:
- dbt Catalog advanced
- dbt Semantic Layer advanced
- dbt Copilot
- dbt Canvas
- dbt Insights
- dbt Mesh
Enterprise+
Everything in Enterprise, plus:
- Unlimited projects
- Custom developer seats
- 100000 models per month
- 20000 queried metrics per month
- Custom Developer seat count
- 100,000 successful models built per month
- 20,000 queried metrics per month
- Unlimited projects
- All features in Enterprise, plus:
- PrivateLink
- IP Restrictions
- Rollback
- Hybrid projects
dbt State
- $0.094 per billable DATT
- Daily active target tables (DATT) billing
- 30 days free trial for eligible new orgs
Trust & presence
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Works with Claude AI
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