Brand Intelligence Graph
Company Overview
About dbt Labs
dbt Labs is a data transformation and analytics engineering company founded in 2016 and headquartered in Philadelphia, Pennsylvania, that created dbt (data build tool) — the open-source framework that established analytics engineering as a discipline and became the de facto standard for transforming raw data in the modern data warehouse. The company was founded by Tristan Handy, Drew Banin, and Connor McArthur with the conviction that data analysts should have the same software engineering workflows — version control, testing, documentation, modularity — that application engineers take for granted. dbt brought those practices to SQL-based data transformation, enabling data teams to build reliable, maintainable data pipelines.
Business Model & Competitive Advantage
The dbt product ecosystem includes dbt Core (the open-source transformation framework), dbt Cloud (the managed development and deployment platform), dbt Explorer (data lineage and documentation), and a growing set of features for data governance and collaboration. In January 2025, dbt Labs acquired SDF Labs, a high-performance SQL compilation and semantic layer technology, deepening its capabilities in query planning and column-level lineage. dbt integrates natively with major cloud data warehouses including Snowflake, Databricks, BigQuery, and Redshift, and sits at the center of the modern data stack alongside ingestion tools like Fivetran and orchestration platforms like Airflow.
Competitive Landscape 2025–2026
In October 2025, dbt Labs announced an all-stock merger with Fivetran, a combination that would unite the leading data ingestion and transformation layers of the modern data stack under one company. dbt Core's open-source community spans hundreds of thousands of data practitioners globally, and dbt Cloud serves thousands of paying enterprise customers. The merger, if completed, would create a dominant end-to-end data pipeline company and redefine the competitive landscape in the modern data stack market.
Recent Activity
View all →Clean data is just the start. See how dbt's semantic layer, MCP, and agent skills give AI the business context it needs.
A roundup of everything we've shipped since January—across agents, Fusion, security, developer experience, dbt Core, and more.
How Docusign reduced dbt unit test authoring from 5 hours to 30 minutes using a structured AI-assisted framework.
NASDAQ processes up to a trillion messages a day across 26 business lines. Here's why they use dbt and Databricks to do it.
Just like humans, autonomous agents need faster feedback loops. Here’s how to develop them.
dbt Developer Agent is now available in Preview—grounded in your dbt project so you ship faster without breaking downstream.
Quarterly Report filed 2026-05-06
Material Event filed 2026-05-05
Proxy Statement filed 2026-04-27
See how Obie used the dbt Fusion engine and state-aware orchestration to cut costs, speed up pipelines, and scale with confidence.
Material Event filed 2026-04-24
The cost of skipping dbt on Databricks compounds quietly. A solution architect explains what to watch for and when to act.
Key Differentiators
Strong Challenger
dbt Labs is an established challenger with significant market presence and competitive offerings in Data & Analytics.
Top 10 Ranked
Ranked #8 in the Data & Analytics category, among the industry's best.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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