en.Wedoany.com Reported - Fivetran and dbt Labs have completed their merger, with the combined entity operating under the name Fivetran + dbt Labs, aiming to build a unified platform for trusted, open data infrastructure at scale for AI. The all-stock transaction, initially announced on October 13, 2025, sees Fivetran CEO George Fraser continue as CEO of the merged company, while dbt Labs co-founder Tristan Handy assumes the role of President.
The merged Fivetran + dbt Labs serves the analytics, data engineering, and AI project domains, catering to a global community that includes over 100,000 data teams. Its customers include OpenAI, Zendesk, Coupa, HubSpot, as well as leading enterprises in the financial services, retail, manufacturing, and healthcare sectors.
AI agents are becoming the primary consumers of enterprise data, operating continuously and in parallel at machine speed, unlike traditional analysts. Many organizations expect AI agents to function largely autonomously, requiring data to be reliable, fresh, governable, and accessible across every system in the enterprise. Fivetran + dbt Labs builds the data foundation for the Agentic AI era, providing an infrastructure layer that encompasses the governance context needed for data movement, transformation, reasoning, and action. Fivetran ensures agents operate on complete, continuously synchronized, and reliable data, while dbt ensures data is defined, tested, and trusted through governed business logic, shared semantic context, and software engineering best practices. This foundation is built on open standards and works across any cloud, engine, or tool.
George Fraser, CEO of Fivetran + dbt Labs, stated that the next generation of enterprise AI will be defined by the quality and trustworthiness of the underlying data. Together, the two companies are creating an infrastructure layer to help organizations deliver governed, high-quality, and semantically rich data to drive trusted AI agents at scale. President Tristan Handy noted that companies successfully deploying AI will be those whose agents are trustworthy and capable of taking action, and that this trust is built on an infrastructure layer underpinned by high-quality tools and open standards.
The merger marks the first major milestone in a shared innovation roadmap, with initial joint innovations already unveiled, covering agent development workflows, intelligent orchestration, and continued investment in open-source innovation. Key innovations include: dbt Core v2.0 (alpha), which open-sources the dbt Fusion engine runtime under the Apache 2.0 license as dbt Core v2.0, providing practitioners with the familiar dbt experience on a faster, more powerful foundation, while the locally installable distribution of dbt gives developers free access to all Fusion features; dbt State (preview), serving as a caching layer for data pipelines that builds only what has changed, helping companies reduce underlying infrastructure costs by 30% or more; dbt Wizard (beta), offering autonomous assistance for model writing, refactoring, and debugging, generating governance recommendations and trusted SQL that reflect the actual structure and definitions of enterprise data based on the full dbt project context; and Agents Schema, an open standard for agent context that designates a single schema in a warehouse or data lake as a shared context layer for AI agents, compatible with any warehouse, data lake, ingestion tool, or SQL-supporting agent.
Akshay Agrawal, Director of Data Engineering at Zendesk, stated that with Fivetran and dbt, what used to take months can now be accomplished in weeks, enabling faster access to trusted data. Jon McManus, Chief Data and AI Officer at Inova Health, noted that with Fivetran and dbt, they are creating a foundation for AI agents and applications to act on trusted, governed data. Lakshmi Ramesh, Vice President of Data Services at Tinuiti, believes the combination of Fivetran and dbt prepares them for the next step, where analytics, AI, and agent workflows all depend on trusted data. Jitesh Kumar, Senior Software Development Manager at Shutterstock, stated that by building an AI-ready data foundation with Fivetran and dbt, they have improved how their teams access and operate on trusted, real-time data. Piyush Bhargava, Senior Director of Data Architecture and Engineering at DocuSign, pointed out that AI and agents are only as strong as the data behind them, and by investing in Fivetran and dbt, they are building reusable, trusted data assets.
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