dbt Labs

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

Technology vendors

Services catalogue

4 services in catalogue across 2 categories; runs on 21 sub-vendors.

Insights

Last updated 2026-07-30 · revision 1

21 direct vendors, 274 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Migration Readiness: 9/10

Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.

dbt Labs exhibits very high migration readiness, scoring 90 out of 100. **Strengths:** * **Cloud-Native & Containerized Architecture:** The company's internal tech stack is highly cloud-native, utilizing AWS, GCP, Kubernetes, and Docker. This modern, containerized, and multi-cloud infrastructure significantly simplifies migration efforts to new environments or platforms. * **Multi-Platform Support:** dbt Labs' products and internal systems are designed to work across various cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift) and databases (PostgreSQL), demonstrating inherent flexibility and reducing platform-specific dependencies. * **Open-Source Foundation:** The core product, dbt Core, is open-source (Apache 2.0 licensed), which inherently reduces vendor lock-in and provides flexibility for deployment and customization, making migrations more straightforward. * **Strong Compliance Posture:** Adherence to SOC 2 Type II and ISO 27001, along with robust security practices, indicates that dbt Labs is well-prepared to meet various regulatory and security requirements that might arise during a migration. * **Git-based Workflows:** The use of GitHub, GitLab, and GitHub Actions for version control and CI/CD pipelines is a strong indicator of mature development practices that facilitate controlled and repeatable migrations. * **Product Design for Flexibility:** Products like dbt Mesh (for scaling across multiple teams/projects) and Agents Schema (an open-source standard for AI context) are built with interoperability and flexibility in mind, further enhancing migration readiness. **Weaknesses/Unknowns:** * **Financial Stability:** The absence of data on revenue concentration and growth history makes it difficult to assess the financial capacity to fund large-scale migration initiatives. * **Data Residency Requirements:** Specific data residency requirements are not specified, which could introduce complexities if strict regional data storage mandates exist. * **Vendor Lock-in Clarity:** While the tech stack suggests low lock-in for core infrastructure (multi-cloud, open-source), the overall vendor landscape and explicit lock-in risks are not fully detailed due to the conflicting "Total Vendors: 0" and "Vendor Lock-in Risk: Unknown" entries. However, the use of multiple cloud providers and data platforms mitigates significant vendor lock-in for critical components.

Compliance

6 in-scope frameworks identified; showing 3.

ISO 27001 (source) — Assessment Required

ISO 27001 certification is increasingly expected for enterprise SaaS providers, particularly those serving global enterprise customers. dbt Labs serves 5,700+ cloud customers including major enterprises (Nasdaq, Toyota, Siemens), which typically require ISO 27001 as part of vendor due diligence. No ISO 27001 certificate was found in the publicly accessible pages reviewed. The security page (getdbt.com/security) was not accessible. Risk is Medium because: (1) ISO 27001 is not legally mandated for US SaaS companies; (2) many US SaaS companies prioritize SOC 2 over ISO 27001; (3) absence of public evidence does not confirm absence of certification; (4) the company's scale and enterprise customer base create commercial pressure to obtain this certification.

Evidence: https://www.getdbt.com/security, https://www.getdbt.com/terms-of-use

EU-US Data Privacy Framework — Compliant

dbt Labs has explicitly certified to the EU-US Data Privacy Framework, UK Extension, and Swiss-US DPF as documented in its Privacy Policy. This is a self-certification program administered by the US Department of Commerce and verifiable at dataprivacyframework.gov. The company has committed to DPF Principles, appointed BBB National Programs as its independent dispute resolution mechanism, and documented its obligations for onward data transfers. Risk is Low because: (1) certification is publicly verifiable; (2) the DPF replaced Privacy Shield following the Schrems II ruling and has been recognized as providing adequate protection by the European Commission (adequacy decision July 2023); (3) dbt Labs has documented compliance mechanisms.

Evidence: https://www.getdbt.com/cloud/privacy-policy, https://www.dataprivacyframework.gov/, https://bbbprograms.org/programs/all-programs/dpf-consumers/ProcessForConsumers

SOC 2 (source) — Assessment Required

dbt Labs is a cloud SaaS provider serving 5,700+ enterprise customers and 100,000+ teams, making SOC 2 Type II certification highly expected and commercially necessary in the B2B SaaS market. The company's security page (getdbt.com/security) was not accessible in this research session, and no SOC 2 report or certification was found in the publicly accessible pages reviewed. The Terms of Use reference 'commercially reasonable physical, administrative, and technical safeguards' (Section 8.6) but do not mention SOC 2. The risk is Medium because: (1) absence of public evidence does not confirm absence of certification — SOC 2 reports are typically shared under NDA with customers; (2) at dbt Labs' scale and customer profile (including Nasdaq, Toyota, Siemens), SOC 2 certification is almost certainly in place; (3) if SOC 2 is not in place, this would represent a significant gap for enterprise sales and customer trust.

Evidence: https://www.getdbt.com/security, https://www.getdbt.com/terms-of-use, https://www.getdbt.com/cloud/privacy-policy

Financials

Three-year financials

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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