Fivetran announced the completion of its merger with dbt Labs, creating a combined company focused on delivering the data infrastructure needed to support trusted AI agents at scale. The all-stock transaction, which was originally announced in October 2025, brings together two leading data platforms that serve more than 100,000 data teams globally. The combined company will initially operate as Fivetran + dbt Labs, with George Fraser continuing as CEO and Tristan Handy serving as President.
The merger is designed to address the growing demand for reliable, governed, and AI-ready data as organizations increasingly deploy autonomous AI agents. By combining Fivetran’s data movement and synchronization capabilities with dbt Labs’ data transformation, governance, and semantic modeling technologies, the company aims to create an open data infrastructure layer that enables AI agents to operate on trusted and high-quality data across enterprise environments.
According to the company, AI agents require a different type of data foundation than traditional analytics systems. As agents operate continuously and often autonomously, they depend on data that is current, accurate, governed, and accessible across multiple systems. The combined platform seeks to provide organizations with a flexible, cloud-agnostic architecture built on open standards that avoids vendor lock-in while maintaining governance, portability, and control.
The merger also introduces the first wave of joint product innovations from the combined company. These include the alpha release of dbt Core v2.0, which open sources the dbt Fusion engine runtime under an Apache 2.0 license; dbt State, a caching layer designed to reduce infrastructure costs by building only changed data assets; and dbt Wizard, an AI-powered assistant for model authoring, debugging, and refactoring.
Another major announcement is Agents Schema, an open-source standard that provides a shared context layer for AI agents. The framework allows organizations to store semantic models, metrics, lineage information, and business documentation in SQL tables that can be accessed by AI systems while remaining compatible with existing governance and security frameworks.
The combined company highlighted support from customers including Zendesk, Inova Health, Tinuiti, Shutterstock, and DocuSign, which are using Fivetran and dbt technologies to build trusted data foundations for analytics, AI applications, and agentic workflows.
Fivetran + dbt Labs said the new capabilities will be showcased at Snowflake Summit 2026 and represent the first step in a broader innovation roadmap focused on enabling trusted AI agents and enterprise-scale AI adoption.
KEY QUOTES:
“The next generation of enterprise AI will be defined by the quality and trustworthiness of the underlying data. Together, Fivetran and dbt Labs are creating the infrastructure layer that helps organizations deliver governed, high-quality, and semantically rich data to power trusted AI agents at scale.”
George Fraser, CEO and Co-Founder, Fivetran + dbt Labs
“The companies that deploy AI successfully over the next decade will be the ones whose agents can be trusted to act. Trust is built at the infrastructure layer, on high-quality tooling and on open standards. That’s the bet we’re making together.”
Tristan Handy, President and Co-Founder, Fivetran + dbt Labs
“With Fivetran and dbt, what used to take months now happens in weeks. It gives the business faster access to trusted data and creates the foundation we need to scale analytics, agents, and AI across the enterprise.”
Akshay Agrawal, Director of Data Engineering, Zendesk
“Our focus now is on how we operationalize AI across Inova. With Fivetran and dbt, we’re creating the foundation for AI agents and applications that can act on trusted, governed data — not just generate insights, but drive action.”
Jon McManus, Chief Data and AI Officer, Inova Health
“The combination of Fivetran and dbt isn’t just about efficiency today. It’s about being ready for what’s next. Analytics, AI, and agentic workflows all run on trusted data, and together, Fivetran and dbt are the data infrastructure that makes it all possible.”
Lakshmi Ramesh, VP of Data Services, Tinuiti
“By building an AI-ready data foundation with Fivetran and dbt, we’re improving how teams across Shutterstock access and operationalize trusted, real-time data for analytics and emerging AI-driven workflows.”
Jitesh Kumar, Senior Software Development Manager, Shutterstock
“AI and agents are only as strong as the data behind them. By investing in Fivetran and dbt, we’ve built the reusable, trusted data assets that are central to how we scale AI and drive innovation.”
Piyush Bhargava, Sr. Director, Data Architecture and Engineering, DocuSign
