Fivetran + dbt Labs announced that Fivetran has been positioned by Gartner as a Leader in the 2026 Gartner® Magic Quadrant™ for Data Integration Tools. The evaluation was based on specific criteria that analyzed the company’s overall Completeness of Vision and Ability to Execute.

Fivetran has been positioned by Gartner as a Leader in the 2026 Gartner® Magic Quadrant™ for Data Integration Tools.

Fivetran + dbt Labs believes its recognition as a Leader marks a significant milestone for the combined company following the merger in June 2026. Together, the companies are bringing data movement, transformation and business context into a unified data infrastructure, helping enterprises connect their AI to trusted data.

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“AI is becoming the primary consumer of enterprise data, but its ability to deliver meaningful results depends on access to trusted data and business context,” said George Fraser, CEO and Co-founder of Fivetran + dbt Labs. “That’s why we brought Fivetran and dbt Labs together. Our mission is to connect your AI to your data, giving businesses the foundation they need to build AI applications and agents that understand how their businesses actually operate.”

As AI becomes a new consumer of enterprise data, businesses face a critical challenge: connecting AI to the trusted data and business context it needs to deliver accurate, meaningful results. Fivetran + dbt Labs is addressing this challenge by bringing data movement, transformation and business context together in an open, unified infrastructure. The goal is to make it easier for enterprises to connect their AI to their data, regardless of where that data lives or which AI tools they choose.

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“As AI agents take on more complex business tasks, the quality of their decisions will depend on more than access to data alone,” said Rita Sallam, Distinguished VP Analyst at Gartner. “Organizations need to ensure that data is accurate, current and grounded in consistent business definitions. Bringing data integration and semantic context together is becoming increasingly important to building AI systems that deliver reliable, meaningful outcomes.”

Building the data infrastructure for trusted AI

Fivetran + dbt Labs is advancing its vision for Open Data Infrastructure, designed to help enterprises connect their AI to their data while improving reliability, efficiency and flexibility.

The combined offering focuses on three priorities:

• Connecting trusted data and business context. Fivetran automates data movement from business applications and systems into customer-controlled destinations, while dbt transforms that data into tested models and consistent business definitions. Together, these capabilities help organizations provide analytics and AI with reliable information grounded in how their businesses operate.
• Making AI infrastructure more efficient. As AI adoption expands, organizations need to manage the cost and complexity of preparing data for new applications. Automated pipelines, reusable data models and more efficient processing help reduce repetitive engineering work and enable customers to extend existing data investments to new AI use cases.
• Preserving customer control and choice. An open approach to data infrastructure allows organizations to retain control of their data while choosing the platforms, engines and AI tools that best meet their needs. Support for open formats and interfaces helps enterprises adapt as technologies evolve without repeatedly rebuilding their data foundations.

The strategy builds on Fivetran + dbt Labs’ experience automating enterprise data movement and dbt Labs’ role in helping data teams transform, test and define the data that powers business decisions. By bringing these capabilities together, Fivetran + dbt Labs aims to help organizations create a trusted, reusable data foundation that supports analytics today and AI applications as they evolve.