Fivetran has once again been recognized as a Challenger in the Gartner® Magic Quadrant™ for Data Integration Tools — our 6th consecutive appearance in the report.
In a rapidly evolving market, we believe our momentum highlights the growing trust customers place in Fivetran as the foundation for their AI-driven future. Over the past year, we expanded support for our Fivetran Managed Data Lake Service, introduced the Connector SDK to simplify custom data source integration, and improved support for unstructured data. Through acquisitions — including Census and Tobiko Data — we’ve further extended our capabilities across data movement, transformation, and activation — delivering a secure, reliable platform designed for enterprise scale.
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Powering AI-ready data for enterprise workloads
Every month, Fivetran moves over 7,200 TB of data, handling nearly 24.5 million schema changes across 700+ connectors for over 7,600 customers worldwide. Our customers rely on Fivetran to deliver consistent, high-performing pipelines that fuel analytics and AI at scale.
“There are several things we love about Fivetran, but these are the top 3 that stand out the most: 1) stability and performance 2) wide range of connectors 3) exceptional support. Fivetran has become an essential part of our data infrastructure, thanks to its reliability, scalability, and customer-first mindset.”
— Gartner Peer Insights™ review
Leading enterprises like Saks, Autodesk, Square, and Paylocity are unifying massive, complex data ecosystems with Fivetran — turning raw information into AI-ready assets that power personalization, automation, and predictive intelligence at scale.
The success our customers achieve with Fivetran mirrors a growing shift across the data landscape. Organizations everywhere are rethinking how they manage complexity, demanding platforms that simplify and automate rather than add friction.
The data industry is evolving — fast
We’re in the midst of one of the most significant shifts in enterprise data management in decades. The traditional model of assembling dozens of disconnected point solutions for ingestion, transformation, governance, observability, and activation is being outpaced. The market is moving fast, toward integrated and standards-based platforms that deliver AI-ready data with greater speed, reliability, and efficiency.
Three key forces are driving this shift:
- Tool sprawl becomes drag. Organizations have long juggled multiple point solutions. That flexibility came at a cost: mounting integration debt, hidden overhead, vendor-management burden, and slower time-to-insight.
- AI and advanced analytics demand reliable data access. Fragmented vendor ecosystems can’t keep up with the pace of real-time data, schema drift, open table formats, and the demands of AI workloads.
- M&A and consolidation are accelerating. Moves — such as ServiceNow acquiring data.world — signal a broader market shift. In fact, 68% of enterprise technology leaders plan to reduce their vendor count by nearly 20%. Together, these signal that consolidation isn’t optional — it’s inevitable.
In this new landscape, enterprises will demand more value from less complexity. They will expect vendors to own bigger parts of the workflow, provide faster time-to-insight, support AI workloads, and allow seamless activation of that insight.
The winners will be those who embrace interoperable data architectures, support open formats, and enable activation across every layer of the data stack.
The future of data is clear: fewer tools, more intelligence, and AI-ready data for what’s next. Our vision is to make AI-ready data accessible wherever it’s needed — securely, efficiently, and reliably. As the market evolves, our focus remains constant: delivering a platform that simplifies complexity, empowers innovation, and provides the trusted data foundation for what’s next.
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