dbt Labs Due Diligence
Run due diligence on dbt Labs: check compliance and get alerts when suppliers change.
United States · www.getdbt.com · 21 vendors
dbt Labs is a technology company that provides an open-source data transformation tool (dbt Core) and a commercial cloud-based platform (dbt Cloud). It empowers data analysts and engineers to transform, test, and document data in cloud data warehouses using SQL, applying software engineering best practices to analytics workflows. The company's mission is to help data practitioners create and disseminate organizational knowledge, enabling reliable, governed data pipelines for analytics and AI initiatives.
Resilience scores
- Digital Sovereignty: 90
- Digital Resilience: 9
- Financial Resilience: 7
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Services catalogue
4 services in catalogue across 2 categories; runs on 21 sub-vendors.
- dbt
- Analytics Engineering
- Data Transformation
Insights
Last updated 2026-07-30 · revision 1
21 direct vendors, 239 subvendors
Direct vendors by controlling owner country (sample)
- United States: 19
- Australia: 1
- Norway: 1
Subvendors by controlling owner country (sample)
- Poland: 2
- Netherlands: 2
- United States: 175
Compliance
6 in-scope frameworks identified; showing 3.
ISO 27001 (source) — No public evidence
Evidence: https://www.getdbt.com/security, https://www.getdbt.com/terms-of-use
CCPA — Evidence found
Evidence: https://www.getdbt.com/cloud/privacy-policy
SOC 2 (source) — No public evidence
Evidence: https://www.getdbt.com/security, https://www.getdbt.com/terms-of-use, https://www.getdbt.com/cloud/privacy-policy
Financials
Three-year financials
- 2024:
- 2023: revenue $100M
- 2022: revenue $58M
Financial Resilience Score: 7/10
dbt Labs demonstrates strong financial resilience anchored by its category leadership in data transformation, a large open-source community moat (100,000+ community members, 80,000+ weekly team users), and a blue-chip enterprise customer base including Nasdaq, Siemens, Toyota, Roche, HubSpot, and OpenAI. The company is well-capitalized, having raised over $400M across Series A–D from top-tier investors including Andreessen Horowitz, Sequoia, Altimeter, GV, ICONIQ, Coatue, and Tiger Global, culminating in a $4.2B valuation at Series D in February 2022. The June 1, 2026 all-stock merger with Fivetran materially strengthens resilience by creating a combined entity with ~$600M+ ARR, complementary product surface (ingestion + transformation), and reduced standalone financing risk. New product initiatives around the dbt Fusion engine and agentic AI infrastructure position the company well for elevated enterprise AI spend. However, resilience is tempered by significant opacity—no audited financials, GAAP revenue, EBIT, or equity figures are disclosed. Reported layoffs across 2023 and 2024, growth deceleration below levels implied by the $4.2B mark, competitive pressure from Snowflake, Databricks, Coalesce, and SQLMesh, and integration risk from the Fivetran merger all constrain the score.
Key strengths: Category leadership as de facto standard for SQL-based data transformation, Large open-source community moat (100,000+ members, 80,000+ weekly team users), Blue-chip enterprise customer base (Nasdaq, Siemens, Toyota, Roche, HubSpot, OpenAI), Well-capitalized with $400M+ raised from top-tier VCs, $4.2B Series D valuation (Feb 2022), Merger with Fivetran (closed June 1, 2026) creating ~$600M+ combined ARR, Product repositioning for agentic AI via dbt Fusion engine
Risk factors: Opacity of financials—no audited disclosures of revenue, EBIT, or equity, Growth deceleration and reported layoffs in 2023 and 2024, Open-source cannibalization tension with dbt Core (Apache 2.0), Competitive pressure from Snowflake, Databricks, Coalesce, SQLMesh, and native cloud transformation tools, Concentration on cloud data-warehouse ecosystems (Snowflake, Databricks, BigQuery, Redshift), Integration risk from Fivetran all-stock merger, Community backlash risk from licensing/architectural changes
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