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Fishtown Analytics was rebranded to dbt Labs— see dbt Labs for current status.
Brief
Fishtown Analytics

Fishtown Analytics

dbt enables data teams to transform raw warehouse data using SQL with software engineering best practices, dramatically improving data quality, reliability, and team collaboration. It bridges the gap between data engineering and business intelligence.

fishtownanalytics.comPhiladelphia, Pennsylvania, United StatesFounded 2016

Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 11, 2026

Industry
Data Analytics / Analytics Engineering
Business Model
Open-Core SaaS
Target Market
Mid-Market and Enterprise
Employee Count
201-500
Funding
$414M
Revenue Range
$50M-$100M
API Available
Yes
Market Position

Pioneer and market leader in the analytics engineering space, with dbt becoming the de facto standard for SQL-based data transformation in the modern data stack

Overview

Fishtown Analytics was founded in Philadelphia to develop and commercialize dbt (data build tool), an open-source framework that enables data analysts and engineers to transform raw data in their warehouses using SQL. The company popularized the concept of 'analytics engineering' as a discipline, empowering analysts to apply software engineering best practices — version control, testing, documentation, and modular code — to their data transformation workflows. dbt quickly became a foundational tool in the modern data stack, sitting between data ingestion tools and BI platforms. The company offered dbt Core as a free, open-source CLI tool and dbt Cloud as a managed SaaS platform providing scheduling, a web-based IDE, collaboration features, and observability. This open-core business model drove massive community adoption, with tens of thousands of practitioners using dbt globally. Fishtown Analytics became a central figure in the 'modern data stack' movement alongside companies like Snowflake, Fivetran, and Looker. In 2021, Fishtown Analytics officially rebranded to dbt Labs to better align its corporate identity with its flagship product. Under the dbt Labs name, the company continued to grow rapidly, raising significant venture funding and expanding its enterprise customer base. While not a core AdTech company, dbt/dbt Labs is widely used by AdTech and marketing analytics teams to model and transform advertising performance data across platforms.

Products & Features

dbt Core

Free, open-source CLI tool for defining and running data transformations in SQL within a data warehouse

dbt Cloud

Managed SaaS platform offering a web IDE, job scheduling, CI/CD integration, documentation hosting, and team collaboration features

dbt Semantic Layer

A centralized layer for defining business metrics and making them consistently available across BI and analytics tools

dbt Explorer

Data lineage and documentation interface for understanding and navigating data assets and their dependencies

Key Features
SQL-based data transformation with Jinja templatingBuilt-in data testing and validationAutomatic data lineage documentationVersion control integration (Git)Modular, reusable data modelsSupport for all major cloud data warehousesPackage ecosystem (dbt Hub)Semantic layer for consistent metric definitions
Use Cases
Transforming raw advertising data into clean, analytics-ready modelsBuilding marketing attribution models in the data warehouseStandardizing business metrics across BI toolsData quality testing and monitoring for analytics pipelinesCreating auditable, version-controlled data transformation logicEnabling self-service analytics for business teams
Customer Segments
Data engineering and analytics teams at mid-market and enterprise companiesAdTech and marketing analytics teamsFinancial services data teamsE-commerce and retail analyticsSaaS companies with product analytics needs
Connections

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