Overview
dbt Labs grew from a Philadelphia analytics consultancy into the company behind dbt, a tool for transforming data inside a warehouse. Its founders developed the tool while doing client work, then built an open-source community and a hosted product around it. In June 2026, dbt Labs completed an all-stock merger with data-ingestion company Fivetran. [1] [2]
The company found a way to give analysts software-engineering practices without requiring them to abandon SQL. Its later challenge was to fund and govern a commercial platform while maintaining the trust of a community that had helped make the tool useful. [3]
Founding Story
Tristan Handy, Drew Banin, and Connor McArthur founded Fishtown Analytics in 2016. The firm consulted on analytics, and dbt began as a tool for work its team needed to do repeatedly. Handy and Banin started working on Fishtown and dbt full time in July 2016. [4] [1]
Handy later told Matt Turck, “we started as a consulting business,” and described dbt as the tool he wanted for that work. Early customer Casper adopted dbt in 2016. People from Casper later brought it to other organizations, including Starry and Brooklyn Data, and shared feedback with the community. That movement of practitioners created a route to adoption beyond Fishtown's own consulting relationships. [5] [6]
Timeline
- 2016: Fishtown Analytics began work on dbt and consulting. [1]
- 2020: Andreessen Horowitz led a $12.9 million Series A; TechCrunch reported more than 250 dbt Cloud customers. [7]
- 2021: Fishtown rebranded as dbt Labs and announced $150 million in financing. [8]
- 2022: dbt Labs announced a $222 million Series D. [9]
- 2025: The company introduced its Rust-based Fusion engine and a source-available license for parts of the new engine. [10] [11]
- 2026: Fivetran and dbt Labs completed their merger. [2]
Watch: Tristan Handy discusses dbt and the modern data stack
What They Built
A data warehouse holds information brought in from business systems. Before people can use it reliably, teams must clean, join, test, and document that information. dbt lets an analyst write transformations in SQL, organize them as a project, test results, and track changes. It runs the transformations in the warehouse rather than acting as the system that first collects the data. [3]
The original open-source tool became dbt Core. The hosted product, first called Sinter and then dbt Cloud, provided a managed environment around that work. In 2025, dbt Labs introduced Fusion, a new engine with SQL analysis and a local editor extension. The company described Fusion as a mixture of open-source, source-available, and proprietary code. [1] [10] [11]
Market Position
Target Customers
The product served analysts and data teams working in cloud warehouses. Its adoption model let individual practitioners start with a tool, while the hosted platform addressed teams that needed shared development and operations. [3]
Market Size
The sources reviewed do not establish a reliable standalone market size for analytics transformation. Fivetran said the merged companies supported more than 100,000 data teams in 2026; that combined company claim is not a count of paying dbt customers. [2]
Competition
Warehouse platforms and other transformation tools can serve overlapping parts of the workflow. dbt's advantage was its practitioner community and the accumulated projects and practices built around its format. That position also depends on continued compatibility with the warehouses in which customers run their data. The Fivetran merger combined ingestion and transformation under one company while both products continued. [2] [3]
Business Model
Fishtown initially earned revenue from consulting. It later offered a hosted commercial product alongside the open-source tool. The current pricing page offers a free individual tier and paid team plans, with usage limits and additional features. The sources do not establish the profitability of either business line. [5] [12]
Traction
TechCrunch reported over 250 dbt Cloud customers at the time of the 2020 Series A. After the merger, Fivetran reported more than 100,000 data teams across the combined company. These figures describe different populations and should not be treated as a single customer-growth series. [7] [2]
Outcome and evolution
Community and commercial product
The consultancy gave the founders direct exposure to analytics work. Open distribution then let practitioners carry dbt into new workplaces, while the cloud product offered a commercial path. That combination created a recurring governance question: improvements funded by the company had to coexist with expectations around the open project. Fusion's mixed licensing made that boundary explicit. [6] [11]
Joining adjacent parts of the data stack
Fivetran moved data into warehouses; dbt transformed it there. The companies announced an all-stock merger in October 2025 and completed it in June 2026. Handy became president of the combined company. He framed the deal as a way to support the dbt community over the long term; the effect on users depends on later product and governance decisions. [13] [2]
Key Lessons
- Build from repeated work. Fishtown's consulting work exposed a recurring transformation problem before dbt became its central product. [5]
- Treat users as a distribution channel. Early Casper practitioners carried dbt into later jobs and contributed feedback. [6]
- Explain the open and paid boundary. Fusion's licensing shows why a company with an open-source community must be precise about what users can inspect, run, and redistribute. [11]
Sources
- dbt Labs, naming history
- Fivetran, merger completion
- First Round Review, product-market fit
- Contrary Research, dbt Labs
- Matt Turck, founder interview
- dbt Labs, Series A announcement
- TechCrunch, Series A
- dbt Labs, rebrand and financing
- dbt Labs, Series D
- dbt Labs, Fusion launch
- dbt Labs, Fusion licensing
- dbt pricing
- dbt Labs, merger announcement