Fivetran named a Leader for the fifth consecutive year in Snowflake's 2026 Modern Marketing Data Stack report

AI is reshaping what organizations need from their data infrastructure. As enterprises move from experimentation to production, success depends on more than powerful models. It requires trusted, governed data that AI systems can consistently access, understand, and act on.

That shift is reflected in Snowflake's Modern Marketing Data Stack 2026: Governing the Agentic Enterprise report, which highlights the technologies helping organizations build AI-ready data foundations. We're proud that, for the fifth consecutive year, Fivetran has been recognized as a Leader in the Integration & Data Modeling category. The distinction reflects the growing role automated data movement plays in helping organizations prepare for AI at scale.

The recognition comes at an exciting moment for Fivetran. Together with dbt Labs — also recognized as a Leader in the Data Modeling category — we're helping organizations build Open Data Infrastructure, an open, governed approach to enterprise data that gives organizations ownership of their data, transformations, and AI stack. Combined with Snowflake's AI Data Cloud, Fivetran and dbt help organizations automate data movement, create consistent business logic, and provide the context AI systems need to reason across enterprise data. The result is a more open and flexible foundation for analytics, AI applications, and autonomous agents.

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Open data foundations in action 

While the report recognizes the technologies shaping the modern data stack, the real measure of success is the outcomes they enable. Across industries, organizations are using Fivetran, dbt, and Snowflake to eliminate data silos, accelerate time to insight, and build open, trusted data foundations that support analytics today and AI innovation tomorrow.

Here are 3 examples.

Snowflake

Snowflake's marketing intelligence team needed a reliable way to unify data across advertising platforms, marketing systems, and core business applications. Using Fivetran to automate data movement into Snowflake, the team created a centralized data platform that gives hundreds of employees access to consistent, self-service analytics.

Today, teams use that foundation to support attribution, forecasting, campaign measurement, and business planning, helping Snowflake optimize marketing spend and make faster, data-driven decisions across the organization.

Read the full case study

Zendesk

As Zendesk scaled its business and AI initiatives, teams across the organization needed faster access to trusted, reliable data. However, onboarding new data sources often took months, slowing analytics and limiting the ability to deliver new data products.

Using Fivetran, dbt, and Snowflake, Zendesk reduced data project turnaround times by 75%, cutting onboarding timelines from roughly 2 months to just a few weeks. By bringing together data from Salesforce, Gainsight, product usage, customer feedback, and revenue systems, Zendesk created a unified view of customer health across go-to-market, customer success, and product teams.

Zendesk’s teams can now access data faster, enabling customer health insights, predictive models, and future AI-driven use cases.

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Canva

As Canva's global user base grew beyond 260 million, the company needed a scalable way to unify data across dozens of marketing, sales, and engagement platforms. Siloed data made it difficult to deliver consistent insights and support data-driven decision-making across the business.

Using Fivetran to automate data movement into Snowflake and dbt to transform and model data, Canva centralized data from more than 60 business systems into Snowflake, creating a unified view of customers across marketing, sales, and product teams. Automated data movement reduced weeks of manual work to minutes, giving teams faster access to reliable, governed data.

Today, analysts and business users can self-serve insights faster, enabling Canva to scale personalization, improve decision-making, and support future AI initiatives.

Read the full case study

5 years of leadership — and what’s next

Fivetran's fifth consecutive Leader recognition reflects the growing importance of trusted, automated data movement as organizations modernize their data foundations for analytics and AI.

As enterprises move toward increasingly AI-driven workflows, they need infrastructure that does more than centralize data. They need open, governed foundations that combine reliable data movement, trusted business logic, and scalable cloud infrastructure to create consistent enterprise context.

Together, Fivetran, dbt, and Snowflake help organizations create a consistent foundation for analytics, personalization, and AI. By combining automated data movement, trusted transformations, and centralized cloud infrastructure, enterprises can move faster today while preparing for increasingly agentic ways of working.

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