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Microsoft Fabric vs. Power BI: What's the Difference?

Microsoft Fabric vs. Power BI: What's the Difference?

It’s more important than ever today for businesses to make data-driven decisions. But while 90% of organizations indicate that data is increasingly critical to their business, just 25% of them indicate that their decisions are driven by data. 

Businesses need every available advantage to exploit the potential and value of their data, including data analytics tools that streamline how they collect, analyze, interact with, and visualize data so they can accelerate the journey to trusted, actionable intelligence. 

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Microsoft Fabric and Power BI are two popular data analytics tools that can help organizations get the most from their data and lay the groundwork for success in the AI era.  

Microsoft Fabric is an experience-based, end-to-end analytics platform designed to empower users to access, manage, and operationalize data and insights and collaborate holistically. Power BI is a unified, advanced, and scalable platform built around the concept of self-service that provides interactive visualizations, dashboards, and reports for optimized BI.  

But which is the best data analytics tool for your needs? 

An Introduction to Microsoft Fabric and Power BI 


Microsoft Fabric 

The recently launched Microsoft Fabric is an integrated, AI-fueled suite of tools and services developed on OneLake, Microsoft’s multi-cloud data lake. The unified architecture provides a Software-as-a-Service (SaaS) experience and full-service capabilities to streamline how businesses pull insights from raw data. 

The best way to think about Microsoft Fabric is as a holistic, flexible solution for data storage, management, and analytics. It’s like the thread stitching all of your data and analytics workflow layers together. 

Microsoft Fabric contains seven core workloads that are developed to work alongside one another: Synapse Data Science, Synapse Data Warehousing, Data Factory, Data Activator, Synapse Real-Time Analytics, Synapse Data Engineering, and Power BI. 


Key Microsoft Fabric features and benefits: 

  • Supports data science, data movement, business intelligence, and real-time analytics. 
  • Merges existing and new elements from Azure Synapse, Azure Data Factory, and Power BI within one environment. 
  • Simplifies how developers attain insights and deliver it to business users. 
  • Facilitates an experience-driven culture for data analysts, data scientists, business users, data engineers, and data warehousing professionals. 
  • Integrates Data Science, Data Factory, Real-Time Analytics, Power BI, Data Warehouse, and Data Engineering within one platform. 
  • Delivers a cohesive, consolidated data lake to help eliminate data silos and enable the use of existing analytics tools. 
  • Includes CoPilot in Power BI (still in preview), which combines data with generative AI for faster insight sharing and report creation. 
  • Centralizes and strengthens security through a single, ubiquitous security model.  

Power BI 

Power BI is a self-service enterprise BI platform that provides user-friendly tools and interfaces for data aggregation, analysis, visualization, and reporting. It offers a real-time view of business data via interactive dashboards to help users collaborate and share insights without compromising consistency, security, and accuracy. 

The best way to think about Power BI is as a data visualization tool for transforming data from various sources, like Excel, Azure, or SQL servers, into reports and dashboards for immersive insights. It’s like a storyteller that crafts raw data into a compelling narrative. 

Keep in mind that though it’s a component of Microsoft Fabric, Power BI also functions as a stand-alone product. 


Key Microsoft Fabric features and benefits: 

  • Supports business users with diverse degrees of data knowledge. 
  • Incorporates applications like Power BI Premium, Power BI Embedded, Power BI Pro, Power BI Desktop, Power BI Mobile, and Power BI Report Server. 
  • Reports and visualizes data in a broad range of styles, such as charts, graphs, and scatter plots. 
  • Enables users to collaborate using the same data and share insights within the Microsoft environment, like Microsoft Teams or Excel. 
  • Provides access to automated AI and machine learning capabilities, like image recognition and text analytics.  
  • Facilitates real-time data processing so users can work with current data in their reports and dashboards. 
  • Enables users to create data subsets and instantly apply analytics to the data via Quick Insights.  
  • Integrates with Microsoft’s virtual assistant, Cortana, for verbal data querying.  

A Visual Guide to Microsoft Fabric & Power BI  

The flexibility of these tools means that they’re suitable for a variety of use cases, with occasional overlap.  

But in a nutshell, Microsoft Fabric is a strong solution for backend data management and prep. It can be used to streamline data integration, manage large quantities of structured data, drive real-time analytics, and enable trusted predictions.  

Power BI is more tailored for data visualization and analysis to drive business insights. It can be used for data visualization and analytics, communicating insights, and tracking trends. 



Microsoft Fabric 

Power BI 

Type of tool 

End-to-end data and analytics platform  

Data visualization and BI reporting platform 


  • Developing, training, and deploying machine learning models 
  • Processing and analyzing data in real-time 
  • Automating data movement and data transformation 
  • Visualizing data via dashboards and reports 
  • Storing large quantities of data in a central lakehouse 
  • Embedding AI into workflows via upcoming generative AI support 
  • Developing a diverse range of dashboards and reports  
  • Visualizing data via gauge charts, pie charts, KPIs, column charts, bar charts, and more 
  • Connecting different data sources and turning them into insights 
  • Publishing reports to Power BI Service for easier business insights sharing and consumption 


Developed on OneLake, a storage layer that allows data to be stored in an open-source, delta lake format that can support every workload. 

Developed on top of Azure and part of Microsoft’s Power Platform of low-code tools, including Power Pages, Power Automate, Power Apps, and Power Virtual Agents. 


  • Synapse Data Science 
  • Synapse Data Warehousing 
  • Data Factory 
  • Data Activator 
  • Synapse Real-Time Analytics 
  • Synapse Data Engineering 
  • Power BI. 
  • Power Query 
  • Power View 
  • Power Pivot 
  • Power Q&A 
  • Power Map 
  • Power BI Desktop 
  • Power BI Mobile Apps 


Any data professional or practitioner, including regular business users. 

Regular business users, business analysts, business decision-makers. 


Designed around one security model for centralized data management, security, and governance.  

Designed for granular access control, with features like role-based access control (RBAC), data lineage, and sensitivity labels. 


Each of these tools is independently robust, but keep in mind that they’re intentionally built to be used cohesively for a more complete data analytics solution.  

If you’re wondering what the impact of the Microsoft Fabric ecosystem is on Power BI given that the latter is now integrated into Microsoft Fabric as one of the seven core workloads, stay tuned - our upcoming blog will discuss the complete dynamics of this integration for existing Power BI users. 

As always, CloudServus is here to help you make the most of your Microsoft environment and tools. We’re an industry-awarded, top 1% Microsoft consultancy with dedicated experts that can help you leverage Microsoft Fabric and Power BI to optimize your end-to-end analytics journey and Microsoft investments. 

From developing a strategy for implementation and integration to knowledge transfer and ongoing maintenance, our team provides a turn-key approach tailored to improve your unique Microsoft experience.  

Contact us at CloudServus if you have any questions about Microsoft Fabric and Power BI or want to get a jump start with these comprehensive analytics solutions. 

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