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Azure Data Factory

A service for hybrid data integration.
The future of data integration lives in Microsoft Fabric
See how Fabric Data Factory simplifies data integration and reduces cost complexity.
Overview

Simplify data integration and transformation using Fabric

See the future of data-integration in Fabric Data Factory.
  • Help reduce ETL cost and complexity with flexible integration - no rebuilds or duplicate storage required.
  • Built-in governance helps streamline the path from data ingestion to AI-driven insights.
  • Turn data into business outcomes with a unified estate for business insights, AI, and engineering.
Features

Data integration simplified in Fabric Data Factory

Connectors

Ensure your most important data workloads run reliably and securely—with built-in resilience, enterprise-grade governance, and always-on performance your business can trust.

Dataflow Gen 2

Accelerate data preparation at scale with fast, efficient transformations that reduce operational costs and keep analytics flowing—from Power Query to full-code pipelines.

Pipelines

Empower every data professional with flexible orchestration tools—whether building visually or writing code—through a unified Data Factory experience that boosts productivity across skill levels.

Copy job

Move massive volumes of data across clouds quickly, securely, and with predictable performance—thanks to robust, multicloud Copy job capabilities built for the largest data estates.

Mirroring

Break down data silos and eliminate complex pipelines. OneLake unifies your data estate using mirroring and shortcuts, so every team works from a single, consistent source of truth.

Copilot in Data Factory

Infuse intelligence into every step of your data integration process—from AI-assisted transformations to automated mapping—to accelerate delivery and unlock new insights.

See the impact of Fabric Data Factory

See how Fabric Data Factory has been recognized as a leader among solutions for data integration by industry analysts.
MIGRATION

Migrate to Fabric Data Factory from 
Azure Data Factory

See how migrating from Azure Data Factory to Fabric Data Factory simplifies governance and reduces
infrastructure complexity and data movement.
CUSTOMERS

Customers already using Fabric Data Factory

Frequently asked Microsoft Fabric questions

  • Microsoft Fabric is available in in the Azure public cloud regions, however some Fabric workloads might not be immediately available.
  • Fabric Data Factory is the next generation of Azure Data Factory. It preserves familiar pipeline concepts for Azure Data Factory customers while moving teams into a unified, SaaS-native Fabric workspace with OneLake, Lakehouse, Warehouse, semantic models, governance, CI/CD, and Copilot experiences.
  • To start your free trial, visit app.fabric.microsoft.com. Sign up by selecting Start trial  within the  account manager  tool in the Fabric app—no credit card required.
  • Microsoft Fabric has an array of capacities that you can buy.  Learn more  about the differences between the Microsoft Fabric capacities and how to buy an Azure sku.
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Get started

Start using Fabric for free

Try everything Fabric has to offer, including Data Factory, by signing up for a free trial—no credit card required.
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Next steps

Explore Fabric pricing options

Discover how your organization can pay for every analytics solution in one transparent, unified pricing model.
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Learn how to use Fabric

Take free training courses

Learn about Microsoft Fabric, how it works, and where it can accelerate your analytics and insights.
  1. [1]
    Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.
  2. [2]
    Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .