Fivetran, the data foundation for AI, today announced the completion of its merger with dbt Labs, the creator of dbt and the leader in standards for AI-ready structured data. Initially operating as Fivetran + dbt Labs, the all-stock transaction, originally announced on October 13, 2025, brings together two category-defining platforms to advance a new era of trusted, Open Data Infrastructure for AI at scale. George Fraser will continue serving as CEO, and Tristan Handy will serve as President.
Combined company serves more than 100,000 data teams globally including OpenAI, Zendesk, Coupa, and HubSpot.
dbt Core v2.0 (alpha) open sources the dbt Fusion engine runtime under Apache 2.0 license.
dbt State reduces underlying infrastructure costs by 30% or more as a caching layer for data pipelines.
dbt Wizard (beta) provides autonomous assistance for model authoring, refactoring, and debugging.
Agents Schema is an open source standard for agentic context designating a single schema as shared context layer for AI agents.
Companies include OpenAI, Zendesk, Coupa, HubSpot, LVMH, Pfizer, and Verizon.
"The next generation of enterprise AI will be defined by the quality and trustworthiness of the underlying data," said George Fraser, CEO and Co-Founder of Fivetran + dbt Labs. "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."
"The companies that deploy AI successfully over the next decade will be the ones whose agents can be trusted to act," said Tristan Handy, President and Co-Founder of Fivetran + dbt Labs. "Trust is built at the infrastructure layer, on high-quality tooling and on open standards. That's the bet we're making together."
AI agents are quickly becoming the primary consumers of enterprise data, and they behave differently from the human analysts that today's data stack was built to serve. Agents operate continuously, in parallel, and at machine speed. And many organizations want to move into a world where most agents are autonomous — no human in the loop. This shift raises the bar for the data they run on, requiring it to be reliable, fresh, governed, and accessible across every system in the enterprise.
Fivetran + dbt Labs are building the data foundation for the agentic AI era. Together, these companies deliver the data infrastructure layer that makes agents trustworthy, from data movement and transformation to the governed context needed for reasoning and action.
The merger also marks the first major milestone in a shared innovation roadmap, with the first combined innovations from Fivetran + dbt Labs debuting today. The announcements span agentic development workflows, intelligent orchestration, and continued investment in open source innovation.
Key innovations announced today include:
dbt Core v2.0 (alpha): The open sourcing of the dbt Fusion engine runtime, released as dbt Core v2.0 under an Apache 2.0 license, giving every practitioner the dbt experience they know on a faster, more capable foundation.
dbt State (preview): dbt State acts as a caching layer for data pipelines. It only builds what's changed and skips what hasn't, helping companies reduce underlying infrastructure costs by 30% or more.
dbt Wizard (beta): dbt Wizard brings autonomous assistance for model authoring, refactoring, and debugging, grounded in full dbt project context, including lineage, tests, contracts, and defined metrics.
Agents Schema: An open source standard for agentic context that designates a single schema in the warehouse or lake as the shared context layer for AI agents. Metric definitions, semantic models, dbt lineage, and business documentation are stored in plain SQL tables.
"With Fivetran and dbt, what used to take months now happens in weeks," said Akshay Agrawal, Director of Data Engineering at Zendesk. "It gives the business faster access to trusted data and creates the foundation we need to scale analytics, agents, and AI across the enterprise."
"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," said Jon McManus, Chief Data and AI Officer, Inova Health.
"The combination of Fivetran and dbt isn't just about efficiency today," said Lakshmi Ramesh, VP of Data Services at Tinuiti. "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."
"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," said Jitesh Kumar, Senior Software Development Manager at Shutterstock.
"AI and agents are only as strong as the data behind them," said Piyush Bhargava, Sr. Director, Data Architecture and Engineering at DocuSign. "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."
Events
The combined innovations are now available and will be showcased throughout Snowflake Summit 2026. Summit attendees can visit the Fivetran booth (booth #2313) or the dbt Labs booth (booth #2112) to connect with product experts, experience demonstrations of the combined innovations, and explore customer use cases powering trusted AI agents at scale.
About Fivetran + dbt Labs
Fivetran + dbt Labs deliver the data infrastructure layer that makes agents trustworthy — from the moment data moves, through every transformation, to the context an agent reasons from.
The Fivetran platform moves, manages, and transforms data from every system a business runs on into a secure, reliable foundation engineered to evolve, with the flexibility to work across clouds, engines, and tools. With Fivetran, analytics, operations, and AI run on data you trust and control. Thousands of organizations worldwide, including OpenAI, LVMH, Pfizer, and Verizon, rely on Fivetran to turn data into a competitive advantage.
