# Microsoft Fabric vs Power BI: What's the Difference, Do You Need Both? Author: Nikhil Bhansali S Author URL: https://maxwize.in/blog/author/nikhil-bhansali-s Published: 2026-08-21 Category: Microsoft Fabric & Power BI Category URL: https://maxwize.in/blog/category/microsoft-fabric-and-power-bi Meta Title: Microsoft Fabric vs Power BI: Key Differences (2026) Meta Description: Microsoft Fabric vs Power BI explained: what each does, how licensing overlaps, what it costs, and when a Power BI team needs Fabric. Checked Aug 2026. Tags: Pricing, Comparison Tag URLs: Pricing (https://maxwize.in/blog/tag/pricing), Comparison (https://maxwize.in/blog/tag/comparison) URL: https://maxwize.in/blog/microsoft-fabric-vs-power-bi # Microsoft Fabric vs Power BI: What's the Difference, Do You Need Both? Power BI is a reporting and dashboard tool. Microsoft Fabric is the data platform that now contains Power BI plus everything upstream of it: pipelines, Spark notebooks, a SQL warehouse, a lakehouse, real-time streaming, and a shared data lake called OneLake. If your only problem is "we need reports from data that already exists in clean tables", Power BI on its own is enough. If your problem is "our data is scattered across systems and nobody trusts the numbers", Fabric is the part that fixes that, and Power BI sits on top of it. You do not have to choose between them. Power BI is not going away, and Fabric is not a new BI tool. The real question is whether you need to pay for Fabric capacity on top of Power BI licences. ## The one-line version Power BI is one workload inside Microsoft Fabric. Microsoft describes Fabric as "an analytics platform that supports end-to-end data workflows, including data ingestion, transformation, real-time stream processing, analytics, and reporting". Power BI handles the last word in that list. The rest of Fabric handles the others. ## What each one does Power BIMicrosoft FabricWhat it isBI tool: data models, reports, dashboardsSaaS data platform with eight workloads, Power BI being oneWho uses itAnalysts, business usersData engineers, analysts, data scientists, DBAs, business usersStorageImported semantic models, or DirectQuery to your sourcesOneLake, a tenant-wide data lake on Azure Data Lake Storage, Delta/Parquet formatData preparationPower Query in Desktop, dataflowsData Factory pipelines, Dataflows Gen2, Spark notebooks, T-SQL warehouseReal-time dataLimited (streaming datasets, DirectQuery)Real-Time Intelligence: Eventstreams, Eventhouse, KQL databasesMachine learningNone built inData Science workload with notebooks, MLflow experiments, model endpointsTransactional databaseNoneSQL database in Fabric, plus mirroring from Azure SQL, Cosmos DB, Snowflake, DatabricksBillingPer user (Pro, PPU)Per capacity (F SKUs), plus per-user licences for Power BI authorsCan run without the otherYesPower BI is included; Fabric without Power BI makes little sense Workload names are from Microsoft Learn as of August 2026: Power BI, Databases, Data Factory, Real-Time Intelligence, Data Engineering, Data Science, Data Warehouse, and Fabric IQ (preview). ## How the two fit together in practice A typical Power BI setup before Fabric looked like this: an analyst opens Power BI Desktop, connects to a SQL database, an Excel file, and a CRM export, cleans the data in Power Query, builds a model, publishes to the service, sets a scheduled refresh. That still works. It breaks down when: - Refreshes take hours because Power Query is doing the work of a proper ETL tool. - Five analysts have five different versions of "revenue" in five models. - You need data from a system that updates every few seconds. - Models hit the 1 GB limit on Pro (PPU and capacity lift this). - Someone asks for a forecast and there is nowhere to run Python. Fabric's answer is to move the heavy work out of Power BI. Pipelines land raw data in a lakehouse on OneLake. Notebooks or the warehouse clean it. Power BI then reads the finished tables through Direct Lake mode, which queries Delta tables in OneLake without importing a copy and without the query overhead of DirectQuery. One model, one definition of revenue, refreshes that are no longer the analyst's problem. If you are planning that kind of layered setup, the post on medallion architecture in Fabric covers how the bronze, silver, and gold layers map to Fabric items, and lakehouse vs warehouse covers which store to use for what. ## Licensing: where most of the confusion is This is the part people get wrong, so here are the rules as published on Microsoft Learn (checked 20 August 2026). ### Per-user licences LicencePrice (US, paid yearly)What it lets you doFabric (Free)$0Use the Fabric portal, create non-Power BI items (lakehouses, notebooks, warehouses) on an F or trial capacity, view Power BI reports only on F64+Power BI Pro$14 per user per monthCreate and share Power BI content in shared workspaces. Required for every Power BI author.Power BI Premium Per User (PPU)$24 per user per monthPro plus larger models, 48 refreshes a day, XMLA endpoint. Does not provision a Fabric capacity. ### Capacity licences Fabric capacity comes in F SKUs from F2 to F8192, measured in capacity units (CUs). Microsoft bills pay-as-you-go per second with no commitment, or you can reserve for one or three years for roughly 41% less. As of August 2026 the East US pay-as-you-go rate is $0.18 per CU per hour. Worked out at 730 hours a month: SKUCUsApprox. monthly, pay-as-you-go, East USF22$263F44$526F88$1,051F1616$2,102F3232$4,205F6464$8,410 Prices are regional and change; check the [Azure Fabric pricing page](https://azure.microsoft.com/en-us/pricing/details/microsoft-fabric/) for your region. Capacities can be paused, so a dev capacity that runs eight hours a day costs a third of those figures. For the full breakdown including OneLake storage and reservations, see Microsoft Fabric pricing explained. ### The rules that matter 1. **Pro is required to author Power BI content on any capacity.** Microsoft's wording: "To create Power BI items in workspaces that aren't My workspace, you need a Pro license." Buying Fabric does not remove this. 2. **Free viewers only on F64 and above.** "On F SKUs smaller than F64, each user viewing Power BI content must have Pro, PPU, or an individual trial. On F64 or larger, users with only a Free license and a viewer role can view Power BI content." 3. **PPU is not Fabric.** "Premium Per User (PPU) doesn't provision a Fabric capacity." You cannot build a lakehouse with PPU alone. 4. **Power BI Premium P SKUs are being retired.** Microsoft says new and existing customers "should consider purchasing Fabric capacity subscriptions (F SKUs) instead". F64 is the P1 equivalent. 5. **Pro alone gives you no Fabric items.** Without an F capacity, a Pro user cannot create lakehouses, warehouses, notebooks, or pipelines. ## Do you need both? Four scenarios ### Scenario 1: Under 50 report users, data already in clean sources Power BI Pro only. $14 per user per month, no capacity. Use dataflows for light transformation. Do not buy Fabric for this; an F2 is more expensive than 18 Pro licences and solves a problem you do not have. ### Scenario 2: Power BI works, but refreshes and data prep are the bottleneck Power BI Pro for authors and viewers, plus a small F capacity (F2 to F8) for pipelines, a lakehouse, and Direct Lake models. This is the most common upgrade path for mid-sized companies. Total for 20 Pro users and an F4 running full time: roughly $806 a month before any reservation discount. Viewers still need Pro because the capacity is below F64. ### Scenario 3: Hundreds of viewers, a handful of authors F64 plus Pro for the authors only. At $8,410 a month pay-as-you-go (less with a reservation), F64 breaks even against Pro licences at about 600 viewers. Below that, PPU or Pro per viewer is cheaper unless you also need the Fabric workloads. Above that, F64 is cheaper and you get the whole platform. ### Scenario 4: You need streaming, ML, or a warehouse anyway Fabric, sized to the workload, with Power BI as the reporting layer. The comparison here is not Fabric vs Power BI but Fabric vs Databricks or Snowflake plus Power BI. Those are covered in Fabric vs Databricks and Fabric vs Snowflake. ## What changes for an existing Power BI team Less than you fear. Power BI Desktop is unchanged. Published reports, semantic models, and dashboards are "Power BI items" inside Fabric and keep working. The Power BI service URL now opens the Fabric portal, and the admin portal shows Fabric tenant settings alongside the Power BI ones. What you gain if you add capacity: - Direct Lake mode, which reads Delta tables in OneLake without import or DirectQuery trade-offs. - Dataflows Gen2 with destinations, so prep output lands in a lakehouse or warehouse instead of being locked inside one dataflow. - Shortcuts to Azure Data Lake, Amazon S3, and Google Cloud Storage without copying data. - Copilot in Power BI and the other workloads. Copilot needs a paid capacity; the minimum SKU has changed before, so confirm it on Microsoft Learn before you size around it. What you need to learn: - Capacity monitoring. A runaway notebook or a badly written DAX measure now consumes shared CUs, and when the capacity is throttled everyone's reports slow down. The Capacity Metrics app is not optional. - Workspace design. Workspaces now hold lakehouses and pipelines, not only reports, so the flat "one workspace per department" layout usually needs rethinking. - Basic lakehouse concepts: Delta tables, the SQL analytics endpoint, and when to use a warehouse instead. ## A decision checklist Buy Fabric capacity if at least two of these are true: - Power BI refreshes regularly exceed an hour or fail. - More than one team maintains its own copy of the same business data. - You need data that is less than a minute old in a report. - You want to run Python or Spark on your data. - You have 600 or more report viewers. - You are already paying for Azure Synapse, Azure Data Factory, or a Power BI Premium P SKU (see Synapse to Fabric migration). Stay on Power BI Pro or PPU if: - Your data lives in a few well-structured sources. - Fewer than 50 people need reports. - Nobody on the team can own capacity administration. Start with the 60-day trial either way. It gives you an F64-equivalent capacity, which is enough to move one real workload and measure what it consumes before you commit to a SKU. ## FAQ ### Is Microsoft Fabric replacing Power BI? No. Power BI is one of the workloads inside Microsoft Fabric and keeps its own name, desktop app, and per-user licences. Fabric adds data engineering, warehousing, pipelines, and real-time analytics around it. ### Do I need a Fabric capacity to use Power BI? No. Power BI Pro ($14 per user per month) and Premium Per User ($24) work without any Fabric capacity. You need an F capacity only to build non-Power BI items such as lakehouses, warehouses, notebooks, and pipelines. ### Does Fabric remove the need for Power BI Pro licences? Only partly. On an F64 or larger capacity, viewers with a free licence can open reports. Anyone who creates or publishes Power BI content in a shared workspace still needs a Pro or PPU licence, on any capacity size. ### What does Microsoft Fabric cost compared with Power BI? Power BI is billed per user. Fabric is billed per capacity: as of August 2026 the pay-as-you-go rate in East US is $0.18 per capacity unit per hour, so the smallest F2 is about $263 a month if left running and F64 is about $8,400 a month. Reservations cut roughly 41%. ### Can I try Fabric without buying a capacity? Yes. Microsoft offers a 60-day Fabric trial that behaves like an F64 capacity. You need only a free Fabric licence to start it, provided your tenant admin has not disabled trials. ## Where Maxwize fits Maxwize implements both [Power BI](https://maxwize.in/services/data-analytics/power-bi) and [Microsoft Fabric](https://maxwize.in/services/data-analytics/microsoft-fabric) for small and mid-sized companies, and most of our Fabric work starts with an existing Power BI estate that has outgrown Power Query. Data analytics projects run from $1,000 to $20,000 depending on sources and scope. If you want a second opinion on whether you need capacity at all, [get in touch](https://maxwize.in/contact) and we will tell you straight. ## FAQs Q: Is Microsoft Fabric replacing Power BI? A: No. Power BI is one of the workloads inside Microsoft Fabric and keeps its own name, desktop app, and per-user licences. Fabric adds data engineering, warehousing, pipelines, and real-time analytics around it. Q: Do I need a Fabric capacity to use Power BI? A: No. Power BI Pro ($14 per user per month) and Premium Per User ($24) work without any Fabric capacity. You need an F capacity only to build non-Power BI items such as lakehouses, warehouses, notebooks, and pipelines. Q: Does Fabric remove the need for Power BI Pro licences? A: Only partly. On an F64 or larger capacity, viewers with a free licence can open reports. Anyone who creates or publishes Power BI content in a shared workspace still needs a Pro or PPU licence, on any capacity size. Q: What does Microsoft Fabric cost compared with Power BI? A: Power BI is billed per user. Fabric is billed per capacity: as of August 2026 the pay-as-you-go rate in East US is $0.18 per capacity unit per hour, so the smallest F2 is about $263 a month if left running and F64 is about $8,400 a month. Reservations cut roughly 41%. Q: Can I try Fabric without buying a capacity? A: Yes. Microsoft offers a 60-day Fabric trial that behaves like an F64 capacity. You need only a free Fabric licence to start it, provided your tenant admin has not disabled trials. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---