Microsoft Fabric and Power BI: Difference, Interplay and Migration

Microsoft Power BI is one of several workloads within Microsoft Fabric and can also continue to be used as a standalone business intelligence and analytics platform. Microsoft Fabric does not replace Power BI. Instead, it extends the Microsoft data and analytics environment with capabilities for data integration, data engineering, data warehousing, data science, and real-time analytics. These workloads use OneLake, the shared data storage layer in Microsoft Fabric. Organizations that already use Power BI can continue to use their existing Power BI environment and workflows.

The difference in one sentence

Power BI answers questions. 

Microsoft Fabric prepares the data used to answer them.

Power BI is the analytics and presentation layer: connecting and modeling data, creating reports and dashboards, and sharing insights. 

Microsoft Fabric is the data platform underneath and around Power BI. It covers the processes that take place before reporting: ingesting data from source systems, storing and cleaning data, maintaining historical data, and making data available for machine learning.

In many organizations, these tasks are currently handled by a combination of tools such as SQL Server Integration Services (SSIS), Azure Data Factory, a data warehouse, Power BI Dataflows, and intermediate Excel processes. Microsoft Fabric consolidates these data integration, engineering, storage, and analytics workloads within a single platform.

Microsoft Fabric versus Power BI

Microsoft Fabric and Power BI Compared

  •  

    Power BI

    Power BI

    Microsoft Fabric

    Microsoft Fabric
    What it isTool for data analysis and reportingPlatform for the end-to-end data workflow
    CoversData modeling, visualization, and report distributionData integration, storage, preparation, analytics, and AI
    Data storageSemantic models in the Power BI serviceOneLake using the open Delta Parquet format
    Includes-Power BI as one of several Microsoft Fabric workloads
    Licensing modelPer user (Power BI Pro, Premium Per User)Capacity-based licensing (F SKUs), plus user licenses where required
    Target usersBusiness teams and reporting teamsAlso data engineering and data science teams
    Entry barrierLowMedium - more architectural and conceptual planning required
    Suitable whenReports are created from data that has already been preparedData integration and preparation have become a bottleneck

This table is deliberately not a comparison of winners and losers. Microsoft Fabric and Power BI are not competing products. The question is not “Fabric or Power BI,” but rather “Power BI on its own or Power BI as part of Microsoft Fabric.”

 

What changes for existing Power BI environments

  • Your reports will continue to work

    Existing Power BI reports, semantic models, and workspaces continue to function without changes. Power BI is not being discontinued or replaced by Microsoft Fabric. There is no fixed deadline by which existing Power BI environments need to migrate. 

    More about Power BI reports

  • What Microsoft Fabric adds

    Microsoft Fabric provides additional tools in the same portal: Data Factory for data integration, Lakehouse and Data Warehouse for data storage, notebooks for more complex data processing, and Real-Time Intelligence for real-time data. Power BI reports can use Direct Lake to access data in OneLake directly instead of importing it again.

    More about data architectures

  • What changes with licensing

    In practice, this is where most clarification is needed.

    Power BI user access continues to be licensed through Power BI Pro or Premium Per User (PPU). Microsoft Fabric, by contrast, is licensed through capacity-based F SKUs, named according to their number of Capacity Units (CUs): F2, F4, F8, and so on.

    The key threshold is F64. With an F64 capacity or higher, users with a Free license and the Viewer role can consume Power BI reports without requiring their own Pro license. This is comparable to the previous P1 capacity model. Below F64, users viewing Power BI content require a Pro or PPU license. This threshold can significantly affect the cost calculation and should be evaluated before choosing a licensing model.

     Details about Power BI and Fabric licensing

Direct Lake: the technical difference that matters

Anyone who wants to understand what Microsoft Fabric adds to Power BI should look more closely at one point: how reports access data. There are three available approaches - two are already familiar to Power BI users, while the third is introduced with Microsoft Fabric.

  • Import mode

    The data is copied into the Power BI semantic model and stored in memory. This enables fast query performance and avoids placing additional query load on the source systems. The trade-off is that reports are only as current as the most recent data refresh. With large semantic models, refresh processes can also become lengthy and more prone to failure. 

  • DirectQuery 

    With DirectQuery, no data is copied into the semantic model. Instead, each query is sent to the source system at runtime. This means that report data can reflect the current state of the source. The trade-off is slower report interactions and additional load on the source system, which may not be designed for a high volume of analytical queries. With many concurrent users, this can quickly become a performance bottleneck. 

  • Direct Lake 

    Direct Lake is the third option introduced with Microsoft Fabric. Power BI reports access Delta tables in OneLake directly, without importing the data into the semantic model and without sending each query back to the source system. This largely removes the trade-off between data freshness and query performance. It can also eliminate scheduled semantic model refreshes, which are a common source of delays and failures in many Power BI environments. 

How reports access data - 3 approaches

Data access options in Microsoft Fabric and Power BI

 

For organizations with large semantic models and long refresh windows, this is often one of the strongest technical arguments for using Microsoft Fabric.

When switching to Microsoft Fabric makes sense — and when it doesn’t

  • Switching to Microsoft Fabric is worth considering when:

    • data preparation before Power BI is spread across several separate tools
    • data refreshes take too long or fail regularly
    • the same data is stored multiple times, for example in a data warehouse, a data lake, and again in the Power BI semantic model
    • data science or AI workloads need to use the same data
    • governance, data lineage, and permissions need to be applied consistently across the data environment
    • an F64 or larger Fabric capacity is already in use or would be economically viable

  • Switching to Microsoft Fabric is less worthwhile when:

    • Power BI reports are built on a well-maintained data warehouse that already works reliably
    • data volumes are small and the number of source systems is limited and stable
    • there is no requirement for real-time processing or machine learning
    • the team does not have the capacity or skills to develop and operate the platform over the medium term
    • Fabric capacity costs exceed the expected benefits at the current number of users

Microsoft Fabric does not solve data quality problems or make unclear KPI definitions unambiguous. It reduces fragmentation between tools, not ambiguity in business definitions.

Assess your Power BI environment

Are you considering whether Microsoft Fabric is worthwhile for your existing Power BI environment? In a free initial consultation, we review your current setup and provide a clear assessment of whether the expected benefits justify the effort and cost.

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Explore the migration path

Migration from Power BI to Microsoft Fabric

 

A migration to Microsoft Fabric is not a big-bang project with a single cutover date. A phased approach based on the principle start small, grow big is usually more practical.

The first step is an assessment of the existing Power BI environment: Which semantic models are in use, how are they supplied with data, and where do refresh or data preparation problems occur? This provides the basis for the target architecture and Fabric capacity sizing. A single use case is then migrated to Microsoft Fabric as an MVP using real data and real users. Once that setup proves viable, additional use cases can follow. Existing Power BI reports can continue to run during the migration.

Two topics should be addressed from the outset: identifying personal and sensitive data, and defining the required data load frequency for each source system. Both influence the design of the data architecture and its layers, and are significantly harder to retrofit later.

Microsoft Fabric consulting and implementation

From practice: Microsoft Fabric and Power BI working together

In production environments, Microsoft Fabric and Power BI typically have distinct roles: Fabric handles the processes that take place before reporting, while Power BI provides the analysis and reporting layer used by end users. One example is the HEBES benchmarking platform of Keller Unternehmensberatung AG in Aarau, which has been advising organizations in the Swiss healthcare sector since 1995.

Keller Unternehmensberatung Microsoft Fabric and Power BI success story

Informatec rebuilt the platform on Microsoft Fabric. Fabric handles data integration, data processing, and the anonymization of sensitive healthcare data. SOMED and KORE-ARTISET data are combined there in a shared data model. Analysis is performed with Power BI, both in the browser and in Excel. Authentication and role-based access control are managed through Microsoft Entra ID, while data is uploaded through a secure web portal with technical and business validation.

The division of responsibilities is clear: users who provide or prepare data work with Microsoft Fabric. Users who need reports and figures work with Power BI and do not need to interact with the underlying data platform. 

The result: New data is available for analysis within four hours of upload, and customers can perform their analyses independently.

Read the Keller Unternehmensberatung AG success story

FAQ Power BI vs Fabric

No. Microsoft Fabric does not replace Power BI. Power BI is one of the workloads within Microsoft Fabric and also remains available as a standalone product. Existing Power BI reports, semantic models, and workspaces continue to work, and there is no fixed deadline for migrating to Microsoft Fabric.

Yes. Power BI is one of several workloads within Microsoft Fabric and provides the analytics and reporting layer. Microsoft Fabric also includes Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Intelligence, and Databases. However, Power BI can still be used independently of Microsoft Fabric.

Not necessarily. Organizations that use Power BI for reporting on already prepared data sources can continue to work without Microsoft Fabric. Fabric becomes relevant when data preparation before Power BI is spread across several separate tools, refresh processes become a problem, or the same data is stored multiple times across different systems.

Power BI is a tool for data analysis and reporting, while Microsoft Fabric is a platform for the end-to-end data workflow. Power BI covers data modeling, visualization, and report distribution. Microsoft Fabric additionally includes data integration, data storage, data preparation, real-time processing, and data science, with Power BI as one of its workloads.

No. A Power BI Pro license does not include access to the other Microsoft Fabric workloads. To use those workloads, an additional Microsoft Fabric capacity (F SKU) is required. Power BI user licenses and Microsoft Fabric capacity are separate components of the licensing model.

Microsoft is retiring Power BI Premium per Capacity by December 31, 2027 at the latest. Organizations should therefore review how they want to structure their existing Power BI environment in the future. Microsoft is moving toward Microsoft Fabric and Fabric capacity (F SKUs); depending on the requirements, however, alternative data platform strategies may also be appropriate.

Read the blog article

A Fabric Capacity is a pool of provisioned compute resources shared by the Microsoft Fabric workloads and workspaces assigned to it, including Power BI. Capacity is measured in Capacity Units (CUs): an F2 capacity, for example, provides 2 CUs, while an F64 capacity provides 64 CUs.

From F64 upward, eligible users can consume Power BI reports without having their own Power BI Pro license. However, a Pro or PPU license is still required to create and publish Power BI content.

Yes. Existing Power BI reports and semantic models can generally be retained because Power BI remains the same product within Microsoft Fabric. The main areas to assess are capacity licensing, connections to existing data sources, and which parts of the data preparation process should be moved to OneLake and other Fabric workloads.

Updated: 09.09.2026