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dbt Labs
Data & Analytics

dbt Labs Company Overview

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dbt Labs

● Active
Data & Analytics · Philadelphia, PA · Est. 2016
SaaSData EngineeringAnalyticsOpen Source↗ Website
$4.2B
Valuation
$100M
Revenue
500
Employees
2016
Founded

dbt Labs is the company behind dbt (data build tool), an open-source transformation framework that enables data analysts and engineers to transform raw data in their warehouses using SQL and software engineering best practices. More than 50,000 companies use dbt to build reliable, tested, and documented data pipelines on top of modern cloud data platforms including Snowflake, BigQuery, Databricks, and Redshift.

Recent Press
5 items
Product Launch·2025-11-05
dbt Labs Expands dbt Fusion Engine Ecosystem with Microsoft Fabric Integration
dbt Labs announced a native integration between the dbt Fusion Engine and Microsoft Fabric Data Factory, extending its data transformation capabilities across the Microsoft ecosystem.
Product Launch·2025-10-15
dbt Labs Delivers Significant Cost Optimization Results and Agentic AI Features, Powered by Fusion
dbt Labs announced major cost optimization results and new agentic AI capabilities built on the dbt Fusion engine at its Coalesce 2025 conference.
Product Launch·2025-05-07
dbt Labs Redefines dbt with New Fusion Engine, Built to Revolutionize Developer Experience in the Age of AI
dbt Labs unveiled the dbt Fusion Engine, a Rust-based analytics transformation engine with native SQL comprehension designed to dramatically improve developer speed and governance.
Press Release·2025-04-16
AI is Driving a Surge in Data Budgets, According to New Report from dbt Labs
dbt Labs released its 2025 State of Analytics Engineering Report, finding that AI is catalyzing significant new investment in data teams across enterprises.
Partnership·2025-04-15
dbt Labs Launches on Google Cloud and Google Cloud Marketplace to Power Data and AI Workflows
dbt Cloud became available on Google Cloud and the Google Cloud Marketplace, enabling joint customers to run data transformation and AI workflows natively on GCP.
Company History
8 milestones
Tristan Handy founded Fishtown Analytics in Philadelphia, offering analytics consulting services and building the early version of dbt as an internal tool for client data work. The project was designed to bring software engineering discipline to SQL-based data transformation.

dbt Labs Organization Structure & Team

Org Chart
500 employees · Click a leader to explore their team
463 across 12 departments
Chief Executive Officer
Tristan Handy
Drew Banin — Departments
· 463 people across 12 depts

dbt Labs Financials, Revenue & Market Share

Annual Revenue
$100M
+30% vs prior year
YoY Growth
+30%
From $30M to $100M
Revenue / Employee
$200K
Annual revenue per full-time employee
Revenue Growth
2021
2022
2023
2024
2025
$30M
$55M
$72M
$85M
$100M
Market Share
Data Transformation & Analytics Engineering
28%
share
dbt Labs
28%
Dataform
12%
SQLMesh
8%
Matillion
15%
Others
37%
$20B
TAM
$7B
SAM
$100M
SOM
Revenue Streams
dbt Cloud Subscriptions82%
Professional Services10%
dbt Cloud Enterprise Add-ons8%
Business Units
Self-Serve & Mid-Market30%
Individual analytics engineers and small teams on the dbt Cloud Team plan discovered through the free tier and the open-source dbt Core community, upgrading as project complexity and team size grow.
Enterprise70%
Large organizations purchasing dbt Cloud Enterprise agreements with dedicated support, SSO, audit logs, and Semantic Layer API access — primarily in financial services, retail, and technology verticals.

dbt Labs Internal Tools & Processes

Internal Tools
12 departments
Engineering190 people · 3 roles
Standards & Certifications
10 standards
Compliance frameworks, security audits, and quality certifications this company maintains.
Security
SOC 2 Type II
Certified
dbt Labs maintains SOC 2 Type II certification for dbt Cloud, demonstrating that its managed analytics engineering platform meets rigorous security, availability, and confidentiality controls required by the enterprises and financial services firms that run production data pipelines through the platform.
Security
ISO 27001
Certified
dbt Labs holds ISO 27001 certification, providing enterprise customers with internationally recognized assurance that the information security management system protecting dbt Cloud production environments and customer data pipeline credentials meets global standards.
Privacy
GDPR
Compliant
dbt Labs is GDPR compliant, offering data processing agreements and EU data residency options for dbt Cloud enterprise customers whose analytics pipelines process personal data of EU residents stored in connected cloud data warehouses.
Privacy
CCPA
Compliant
dbt Labs complies with the California Consumer Privacy Act, providing enterprise customers with the contractual and technical controls needed to operate dbt Cloud in environments where analytics pipelines process data about California residents.
Privacy
HIPAA
Compliant
dbt Labs supports HIPAA-compliant dbt Cloud deployments through Business Associate Agreements, enabling healthcare analytics teams to build data transformation pipelines that process protected health information from clinical and claims data sources.
Security
Penetration Testing
Compliant
dbt Labs undergoes annual third-party penetration testing of the dbt Cloud platform, IDE, and API surfaces, with findings reviewed and remediated before reports are made available to enterprise customers under NDA during security due diligence.
Regulatory
SSO / SAML 2.0
Compliant
dbt Cloud supports SAML 2.0 single sign-on with Okta, Azure Active Directory, and Google Workspace, enabling enterprise customers to enforce centralized authentication and user provisioning policies across all dbt Cloud developer accounts.
Security
Role-Based Access Control
Compliant
dbt Cloud implements role-based access control at the project, environment, and job level, allowing enterprise customers to restrict which analytics engineers can develop, deploy, and monitor production dbt pipelines and warehouse credentials.
Security
CSA STAR Level 1
Certified
dbt Labs participates in the Cloud Security Alliance STAR Level 1 program, publishing its security self-assessment for dbt Cloud so enterprise IT and procurement teams can review cloud security controls during vendor evaluation.
Regulatory
FedRAMP
In Progress
dbt Labs is pursuing FedRAMP Moderate authorization for dbt Cloud to enable US federal government agencies and regulated public sector organizations to run analytics engineering pipelines in a FedRAMP-compliant cloud environment.

dbt Labs Interview Preparation

Interview Prep
Role-specific interview questions and keywords. Select a department, then click any role to prepare.
Engineering· 3 roles

dbt Labs Products & Competitors

Product Suite
5 products · select one to explore
Data & Analytics
Data Transformation
dbt Core
The open-source data transformation tool.

dbt Core is the open-source command-line transformation framework that allows data analysts and engineers to write modular SQL SELECT statements, test data quality, document lineage, and version-control their entire analytics codebase. Teams at thousands of companies use dbt Core to apply software engineering best practices — including CI/CD, unit testing, and code review — to SQL-based data transformation pipelines running on cloud data warehouses.

Use Cases
Building a modular staging, intermediate, and mart layer SQL transformation pipeline in dbt Core on top of a Snowflake warehouseRunning automated data quality tests using dbt's built-in test framework to assert uniqueness, not-null, and referential integrity constraints on every modelGenerating interactive data lineage documentation with dbt docs generate and hosting it for the analytics team to explore model dependencies
No image
Key Customers
JBLU
JetBlue
GLOS
Glossier
GTLB
GitLab
Competitive Intelligence
VSSQLMesh
THEM

SQLMesh is an open-source data transformation framework with a Python-native model definition approach, built-in CI/CD semantics, and virtual data environments for testing changes without full warehouse runs.

EDGE

Larger open-source community, broader warehouse connector support, and a more established ecosystem of packages via the dbt Hub

VSApache Spark SQL
THEM

Apache Spark SQL is a distributed SQL processing engine used in data engineering pipelines for large-scale batch and streaming transformations on data lakes.

EDGE

SQL-native development experience with built-in testing, documentation, and lineage that is purpose-built for analytics engineers rather than data platform engineers

VSDataform
THEM

Dataform is a Google Cloud-native data transformation tool that enables analytics engineers to define data pipelines in SQL and JavaScript with dependency management and automated testing.

EDGE

Warehouse-agnostic open-source foundation with a richer package ecosystem and stronger community documentation

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