Summary
dbt Labs sells analytics engineering software that helps data teams transform, test, document, and govern warehouse data.
Description
dbt Labs provides a software platform for building, testing, documenting, and governing data transformations in modern cloud data stacks. Its products are used by data teams to create trusted analytics and AI-ready data models with SQL-first workflows, lineage, and collaboration features. The company offers self-serve and enterprise plans, with higher tiers adding governance, security, and deployment controls.
Positioning
Analytics engineering and data transformation software platform emphasizing SQL-first workflows, testing, lineage, governance, and interoperability across the data stack; primarily productized software with enterprise controls and add-on consumption products.
Key facts
- HQ location
- Philadelphia, Pennsylvania, United States
- Full HQ address
- —
- Founded
- 2016
- Employee range
- 501-1000 (80,000+ teams using dbt weekly; company employee count not publicly confirmed on the reviewed sources)
- Funding stage
- Series C Plus
- Company type
- Private
- Pricing model
- Custom Quote Freemium Subscription Usage Based (Free Developer plan, paid per-seat Starter and custom-quote Enterprise/Enterprise+ plans, plus usage-based add-ons such as dbt State and dbt Wizard consumption.)
- Last updated
- —
Financials
- Investments
- Founded in 2016. The company has raised venture funding in multiple rounds, but the specific current funding history and amounts were not reliably confirmed from the reviewed sources in this run.
Relationships
- Target customers
- Data and analytics teams at growth-stage and enterprise organizations, especially analytics engineers, data platform teams, and data leaders building trusted warehouse and AI-ready data products.
- Key competitors
- Dataform, Coalesce, Matillion, Airbyte, Informatica
- Known customers
- Sweetgreen, Bilt Rewards
Classification (raw research text)
- Core focus
- Analytics engineering and data transformation platform
- Core category
- Data transformation and analytics engineering software
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments