Fabric Data Factory Roadmap

Andrew analyzes and writes about Microsoft's data management, business intelligence, and machine learning solutions, as well as aspects of licensing... more

Fabric Data Factory (FDF) is used for creating data integration and transformation pipelines and processes, typically called extract, transform, and load (ETL) workloads. The service provides low-code tools to build data flows and pipelines to automate data integration and transformation from on-premises, third-party database services and Azure-hosted data services either manually, on a schedule, or in response to a trigger. With FDF, developers can create and collaborate on pipelines through shared resources.

As part of Fabric, FDF uses the same UI, workspaces, and data storage components as the other Fabric experiences, allowing it to participate in end-to-end workloads and deliver data to any of the OneLake data stores.

Product: Fabric Data Factory

Licensing: Fabric

Recent Updates and Near-Term Roadmap (2025–2026)

The main emphasis for FDF is unchanged from the previous year. It is focused on improving enterprise security and the various tools used to build workflows that move data from various sources into OneLake.

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