Is Microsoft Fabric replacing Power BI?
What’s the difference between the two prominent Microsoft products Microsoft Fabric and Power BI? Is the Microsoft Fabric replacing Power BI? Should I be concerned about it if I am already using Power BI? Detailed answers from a Microsoft Fabric consulting company inside.
Suresh
May 10, 2024 |
5 mins
Microsoft Fabric vs Power BI
Both Power BI and Fabric are Microsoft applications, each with distinct features and functionalities. Power BI is an analytics and visualization tool that connects data from different sources, turns them into insightful visual reports, and simplifies decision-making. Microsoft Fabric is a SaaS application that unifies all data workloads of an organization, which also includes business intelligence.
Ever since Fabric’s release in 2023, it’s spoken a lot for its simplicity and unified analytics capabilities. It helps data professionals work from one unified environment and comes with one Lake for data storage. So, it’s basically one data being operated across multiple workloads (AI, analytics, business intelligence, etc) without being duplicated. Power BI, with some modifications, is a part of the Fabric environment.
📖 Recommended read: Azure synapse analytics vs Microsoft Fabric
Except for this overlapping, both of these Microsoft tools have distinct functions.
We will explore more into the detailed differences between these tools and where they intersect.
Microsoft Fabric vs Power BI: Differences
Factors | Microsoft Fabric | Power BI |
Architecture | It’s a modular-style architecture that connects different modules within one SaaS environment. This integration makes it possible to connect complex data workloads from different tools like Azure Data Factory, Microsoft 365, Power BI, etc. | Power BI comes with interactive visualization components. It allows its users to integrate data from multiple platforms, perform complex analytics, and turn them into visualizations. Unlike Fabric, Power BI’s major focus is report creation and sharing, even though it connects different data assets. |
Capabilities | Since Fabric is an all-encompassing platform, its capabilities are a lot. Some are data integrations, building data pipelines, analytics, storage, real-time data processing, etc. | Power BI is exclusive to business intelligence. It allows you to create reports, edit, and share them. It shares one function with Fabric, which is data mining and analytics. However, the primary focus is BI & visualization. |
Features | Fabric comes with features: 200+ data connectors Unified governance Copilot integrated into every layer of data workload for natural language interactions with data. Lake-centric storage Ability to create shortcuts of data storage lying in external mediums. And more. | Power BI’s features: Loaded with visualization elements like bar charts, graphs, scatterplots, etc. Drag-and-drop options to create instant reports. Can be embedded into an application, website, web interface, etc. Integrates data from any source and from on-prem & cloud. |
Safety | In-built security and governance framework that can be customized based on the organization’s policies. All data interactions and experiences are fully encrypted. | Power BI is equally secure and encrypted using Entra IDs, just like Microsoft Fabric. It also has other security features like role-based user access to moderate access only to authorized users. |
Who can use it? | It’s for all data teams - data engineers, architects, business intelligence teams, data scientists, ML engineers, etc. | Business intelligence teams and Power BI teams to generate reports. Other business users from all levels and across multiple teams. |
Existing components | Azure Data Factory, Synapse Data Engineering, Synapse Data Science, One Lake, Data activator, Power BI, and Real-time analytics. | Power BI desktop & mobile apps, Power Pivot, DAX, Power Query, Power Map, Power BI report server, Power BI embedded, etc. |
Now, the real question! Can Microsoft Fabric replace Power BI?
No. Microsoft Fabric and Power BI can work together. Given their features and capabilities, they can combinedly help organizations tackle large volumes of data and create reports on the go. Having distinct properties like this, Microsoft Fabric cannot replace Power BI. It can enhance its capabilities, serving real-time data to Power BI in an organized fashion.
Also, the teams and functional areas of both tools are different. While Microsoft Fabric can act like the backend engine, handling data processing, integration, and other experiences, Power BI can be used in the last stages of data adoption. Since its functionalities collide and complement each other, it’s concluded that Microsoft Fabric cannot be the sole replacement for Power BI.
📖 Recommended read: Guide on Microsoft Fabric
I am a Power BI user. Should I migrate to Microsoft Fabric from Power BI?
Power BI has announced that the tool will function the same way and can be enjoyed without any upgrade to Microsoft Fabric. If you are already a Power BI premium user, you can keep using the same, and enable Microsoft Fabric tenant. This will help you enjoy other workloads of Fabric on a capacity trial basis.
But it isn’t advised to entirely shift from Power BI to Microsoft Fabric, even though you get additional features. If your major issues revolve around having better access to data and analytics, then Power BI is enough.
On the other hand, if you are an organization grappling with large amounts of data and vendor lock-in issues, then you can try switching to Microsoft Fabric for better data management across workloads. Since you are already familiar with the Power BI environment, you will quickly get used to the Fabric SaaS foundational platform.
Microsoft Fabric also comes with Power BI, you get new, added functionalities like Co-pilot layered into Power BI to generate reports in seconds with natural language comments.
Summary
Power BI vs Microsoft Fabric. It all boils down to your organization’s goals, data initiatives, and the current system’s complexities. Find a way to integrate both and use them to elevate business intelligence and enable data democratization across the organization. To identify this, you should start with a thorough data assessment and re-evaluate your requirements. Book a free consultation call with one of our data experts so we can understand your requirements and suggest the next best course for you.
