Power BI

This Power BI review covers what Microsoft Power BI is used for, its key features, Power BI pricing and licenses, how it fits Microsoft Fabric, where it shines and falls short, and how it compares with other tools. Power BI is a business intelligence platform: you connect data sources, prepare data with Power Query, build a data model, and design interactive reports with drag and drop visuals. You then publish reports to the Power BI service, where business users view dashboards in the browser, in Microsoft Teams or in the mobile app. Since 2023 Power BI is a core part of Microsoft Fabric, Microsoft's analytics platform, but existing Power BI content and workspaces work as before (Microsoft Learn).

What is Power BI used for?

Power BI is used for data visualization, reporting, data exploration and self service data analytics. Typical uses are sales and marketing dashboards, finance reporting, operations and supply chain analytics, HR reports and management scorecards. Analysts pull raw data from Excel, SQL databases, cloud services and business apps, model it once, and share interactive reports so business users and non technical users can explore data, filter, drill down and find insights without asking IT for a new export. That access to one governed source of numbers is what supports data driven decision making across the organization.

Power BI users range from single analysts who start in Microsoft Excel to large data teams that build governed semantic models for a whole organization. Because it is part of Microsoft 365, many companies already have some Power BI license through their Microsoft plan, which makes it a common first business intelligence platform. Developers also use Power BI Embedded to put reports inside their own apps and custom applications for customers.

Key features

• Power BI Desktop: a free Windows app for building reports, with more than 100 data connectors, Power Query for data transformation, and data modeling with DAX, relationships and calculated columns.
• Power BI service: the cloud service for publishing reports, dashboards, workspaces and apps, scheduled refresh, alerts, email subscriptions and sharing.
• Interactive visuals: more than 30 built-in visuals plus custom visuals from the marketplace, with drill-down, cross-filtering and Q&A in natural language for visual analytics and data storytelling.
• Copilot: an AI assistant that drafts report pages, summaries and answers questions about the data.
• Paginated reports: pixel-perfect printable reports such as invoices, built in Power BI Report Builder.
• Power BI Report Server: on-premises reporting for organizations that cannot use the cloud yet.
• Security and governance: row-level security, sensitivity labels, usage metrics and audit logs, shared with Microsoft Purview.
• Power BI Embedded: embedded analytics for your own apps, billed by dedicated capacity, so customers get access to reports without a Pro license.

Power BI pricing

The plans below come from the Power BI pricing page as of September 2026.

• Free: a free account for personal use in Power BI Desktop and the Fabric free tier; you cannot share reports with others.
• Power BI Pro: $14 per user per month, paid yearly. Publish and share reports and dashboards; included in Microsoft 365 E5 and Office 365 E5.
• Premium Per User (PPU): $24 per user per month, paid yearly. Everything in Pro plus larger models (up to 100 GB), 48 refreshes a day instead of 8, and more advanced features.
• Fabric capacity: priced per capacity, pay-as-you-go or reserved with up to 40.5% savings. On F64 and above, report viewers need no paid license.
• Power BI Embedded: capacity-based pricing for embedding reports in your own apps.

The usage metric is the user: in an organization every person who creates or views shared content needs Pro or PPU, unless the content sits on F64 capacity or above. The cost surprise to check is exactly that: viewers need licenses too, so a report shared with 200 colleagues on Pro means 200 Pro licenses. Capacity only pays off at larger scale, and publishing to Fabric capacity still needs Pro for the report authors.

Power BI and Microsoft Fabric: data integration and governance

Microsoft Fabric adds data integration, data engineering and advanced analytics around Power BI: Dataflows Gen2 and notebooks prepare data, OneLake stores it once, and Direct Lake lets reports query it without import (Microsoft Learn). For Power BI users this means semantic models and Power BI datasets can sit on the same governed source as the rest of the data platform, with security and data access managed through Microsoft Purview. The Power BI service itself stays the place where reports, apps and paginated reports are shared, so a Power BI team can adopt Fabric step by step instead of migrating everything at once.

Power BI vs Excel

Power BI is not the same as Excel. Excel is a spreadsheet for calculations and one-off analysis; Power BI is a business intelligence platform for data models, interactive dashboards and sharing reports across a team. They share Power Query and the Power Pivot data model, so Excel users find the first steps familiar, and Power BI reports can be analyzed in Excel. Use Excel for ad-hoc work and small datasets, and Power BI when several people need the same governed numbers, refreshed automatically from various data sources.

Is Power BI hard to learn for data analytics?

Basic reports take a few days to learn for someone who knows Excel: connect data, drag visuals onto a page and publish. Data modeling, DAX formulas and performance tuning take weeks or months. Microsoft offers free learning paths and the PL-300 Power BI Data Analyst certification, and the wider Power BI ecosystem has courses, templates and community forums. Power BI is not obsolete: Microsoft keeps developing it as the reporting layer of Microsoft Fabric, with Copilot and Direct Lake as recent additions.

Where Power BI shines — and where it falls short

Strengths:

• Low price per user for a full business intelligence platform, and often already part of Microsoft 365.
• Deep integration with Excel, Teams, SharePoint, Azure and Microsoft Fabric.
• Strong data modeling with Power Query and DAX.
• A large community, training and many Power BI developers.

Trade-offs:

• Power BI Desktop runs on Windows only; Mac users need a virtual machine or the web.
• Every viewer needs a license below F64 capacity.
• DAX and data modeling have a steep learning curve for advanced work.
• Large models and heavy visuals can feel slow, and Pro allows 8 scheduled refreshes a day.

How Power BI compares

• Datawrapper: quick, embeddable charts and maps for publishing, not a full BI platform.
• Alteryx: data preparation and analytics automation that often feeds Power BI.
• Dataiku: data science and machine learning next to analytics.
• Google Sheets: shared spreadsheets and simple charts for small teams.
• Rows: a spreadsheet with built-in integrations and shareable reports.
• Observable: code-based data visualization notebooks for developers.
• Microsoft Power Apps: apps on the same Microsoft data, often combined with Power BI reports.

Is Power BI worth it?

Microsoft Power BI is worth it for organizations on Microsoft 365 that want a capable business intelligence platform at a low price per user. It turns data into interactive reports, data driven insights and informed decisions, and scales from one analyst to enterprise data teams on Microsoft Fabric. It is less of a fit for Mac-only teams, for companies that need many external viewers without capacity, or for teams that prefer another cloud's analytics stack, such as Tableau or Looker. If you need help with data modeling, report design or a Fabric migration, the low-code agencies and developers on LowCodeDevs can help.

Sources

• Power BI pricing: plans, prices and capacity licensing.
• What is Power BI?, Microsoft Learn: components, features and the Microsoft Fabric relationship.
• Microsoft Power BI, Wikipedia: history.
• What Is Power BI?, Coursera: use cases and learning paths.
• 10 Power BI alternatives, ThoughtSpot: performance and learning-curve criticism (written by a competitor; its $10 Pro and $20 PPU prices are outdated, Microsoft's pricing page lists $14 and $24).