Systems | Development | Analytics | API | Testing

See how Fivetran, dbt, and Google Cloud create the fresh, traceable, and well-governed data foundation AI agents need to deliver reliable business insights.

From dbt Core v2.0 to AI-powered connectors, Fivetran and dbt unveil joint product innovations that help data teams build open, scalable, AI-ready infrastructure.

Regulation is pushing for openness, while platforms double down on control — and businesses are caught in between.

From Epic EHR to HL7 files, EDI transactions, FHIR APIs, and secure on-premises data, Fivetran helps healthcare organizations unify fragmented systems into a governed, analytics-ready data foundation.

Customer relations excel when support teams can access knowledge at scale.

As AI scales and workloads become continuous, traditional architectures fall short — making Open Data Infrastructure a critical priority for data leaders.

Building the foundation for AI with Fivetran and Google Cloud.

Like many companies, Fivetran has recently piloted a number of projects and internal tools using AI. AI offers the potential to augment or accelerate a huge range of day-to-day business tasks, including better understanding and prioritizing customer requests, surfacing trends across multiple business units, and automating customer communications. The key to delivering value using AI is to ensure that it has access to quality data and a data infrastructure capable of providing it.

As organizations shift from analytics to AI, the modern data stack breaks under tightly coupled, warehouse-centric architectures that limit flexibility and scale.

Analysts, data engineers, ML engineers, and data scientists don’t work the same way; they shouldn’t have to. Today’s data ecosystem includes more roles, more tools, and more specialized workflows than ever before. The days of limiting access to a single warehouse or lake — controlled by a small group of data engineers or analysts — are over.