Startup profile · funding coverage
dbt Labs
Analytics engineering framework and platform (dbt) for transforming warehouse data.
Stage
growth
Status
private
Coverage
full
Why dbt Labs is interesting
dbt made 'analytics engineering' a discipline; its metrics layer is now the foundation many enterprises use before layering AI on trusted data.
Key facts
- Series D (Feb 2022): $222M at $4.2B led by Altimeter with Sequoia, Coatue, Tiger Global, a16z (dbt press, Forbes)
- a16z led 2020 Series A; Sequoia joined prior rounds (Forbes)
Investors in our directory
Funds linked from dbt Labs's profile — open a fund page for stage focus and related deal articles.
Industries
Infrastructure & Cloud Developer Tools Enterprise SaaS
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FAQs about dbt Labs
Funding context and why this company shows up in venture coverage.
dbt Labs develops dbt, an analytics engineering framework that lets data teams transform, test, and document data in cloud warehouses like Snowflake, BigQuery, and Databricks.
Andreessen Horowitz (/fund/andreessen-horowitz) led the 2020 Series A. Sequoia (/fund/sequoia), Coatue (/fund/coatue), Tiger Global (/fund/tiger-global-management), and Altimeter led or joined later rounds including the $222M Series D in 2022.
dbt Labs raised a $222M Series D in February 2022 at a $4.2B valuation led by Altimeter Capital. It remains a private growth-stage company.
dbt standardized how modern data teams build reliable pipelines and metrics — creating a shared layer that enterprises now extend with AI and semantic search on top of governed data.
No. dbt Labs is privately held as of July 2026.
Last updated: 2026-07-24