Startup profile for dbt Labs: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

dbt Labs funding, valuation and investors

Analytics engineering platform — dbt transforms warehouse data into tested metrics layers.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series D

$222M · February 2022

Latest known valuation

$4.2B

Series D · February 2022

Total disclosed equity funding

$251M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · Philadelphia, Pennsylvania

Sources: latest funding Last verified: 2026-07-25

Overview

dbt Labs builds dbt (data build tool), the open-source framework and cloud platform for analytics engineering — transforming raw warehouse data into tested, documented metrics layers. a16z led the 2020 Series A; Sequoia, Coatue, Tiger Global, and Altimeter joined a $222M Series D in February 2022 at a $4.2B valuation.

Why dbt Labs is interesting

dbt made 'analytics engineering' a discipline; its metrics layer is the foundation enterprises use before layering AI on trusted data.

Product & use cases

dbt Core (open source) and dbt Cloud let data teams write SQL transformations as version-controlled, tested pipelines in Snowflake, BigQuery, and Redshift.

  • Building tested SQL transformation pipelines in cloud warehouses
  • Documenting analytics logic for team collaboration
  • Creating trusted metrics layers before BI and AI consumption

Key facts

  • Series D (Feb 2022): $222M at $4.2B led by Altimeter; Sequoia, Coatue, Tiger, a16z
  • dbt Core open source with massive community adoption

Funding history (newest first)

Investors in our directory

Funds linked from dbt Labs's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Open-source community adoption created de facto standard for analytics engineering.

dbt owns the transform layer in modern data stacks. Moat is community, certification ecosystem, and dbt Cloud SaaS.

  • Airflow / Dagster adjacent

    Orchestration; dbt focuses on transform layer.

  • Fivetran adjacent

    ELT ingestion; complementary to dbt.

  • Coalesce direct

    dbt-native transformation IDE.

  • Informatica incumbent

    Legacy ETL; dbt is cloud-native alternative.

Notable stories

  • Founder Tristan Handy coined 'analytics engineering' — dbt's growth created an entire profession (Forbes).

Industries

Infrastructure & Cloud Developer Tools Enterprise SaaS

FAQs about dbt Labs

Practical answers founders, operators, and investors typically search for.

Builds dbt — analytics engineering framework and dbt Cloud SaaS.
a16z (/fund/andreessen-horowitz) led Series A. Altimeter (/fund/altimeter-capital) led Series D. Sequoia (/fund/sequoia), Coatue (/fund/coatue), Tiger (/fund/tiger-global-management) participated.
Transforming raw warehouse data into tested metrics — dbt popularized the term.
Airflow orchestrates; dbt handles SQL transform logic.
February 2022 — $222M at $4.2B.
dbt Core is open source; dbt Cloud is commercial.
Not publicly disclosed.
Philadelphia, Pennsylvania.
No.
Trusted metrics layers are prerequisite for reliable enterprise AI on warehouse data.

By Venture Capital Tracker

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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.