# Microsoft Power BI Reviews **Vendor:** Microsoft **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,620 ## About Microsoft Power BI Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded. ## Microsoft Power BI Pros & Cons **What users like:** - Users appreciate the **ease of use** in Microsoft Power BI, allowing anyone to analyze data effortlessly. (148 reviews) - Users appreciate the **data visualization capabilities** of Power BI, enhancing insights and ease of reporting through customized dashboards. (143 reviews) - Users value the **excellent integrations** of Microsoft Power BI, enhancing data functionality across various platforms. (72 reviews) - Users commend Power BI for its **powerful data insights** and customizable dashboards, enhancing their analytical capabilities. (69 reviews) - Users value the **seamless data integration** capabilities of Microsoft Power BI, enabling connections to diverse data sources effortlessly. (54 reviews) - Charting Features (51 reviews) - Users value the **easy integrations** of Microsoft Power BI, seamlessly connecting with Microsoft products and various data sources. (47 reviews) - Setup Ease (47 reviews) - Efficiency (43 reviews) - Data Analysis (42 reviews) **What users dislike:** - Users find the **learning curve steep** , particularly for beginners struggling with DAX and data model optimization. (83 reviews) - Users find Power BI **slow and complex** when handling large datasets, affecting their overall productivity and efficiency. (68 reviews) - Users frequently experience **performance issues** with Power BI, especially with large datasets and complex DAX queries. (31 reviews) - Users find **complex data modeling** in Power BI challenging, often leading to frustrating learning curves and inefficiencies. (28 reviews) - Users find the **limited customization options** in Power BI restrict their ability to effectively present data visuals. (26 reviews) - Users find the **expensive additional fees** for premium features burdensome, especially for small teams and individuals. (25 reviews) - Complexity (23 reviews) - Users find that **missing features** in Microsoft Power BI require extra effort and training to navigate effectively. (22 reviews) - Complex Usage (19 reviews) - Users struggle with **coding difficulty** , finding the learning curve steep and requiring knowledge of Python or R. (18 reviews) ## Microsoft Power BI Reviews ### 1. Great for unifying our data stack, though governance is key **Rating:** 4.0/5.0 stars **Reviewed by:** rishabh m. | Senior Project Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about Microsoft Power BI?** What we like most about Microsoft Power BI is how quickly it turns raw data into something business teams can actually use. The UI is clean and fairly intuitive, so even non technical users can navigate dashboards and build simple reports without too much hand holding, while data teams still have the flexibility to create more advanced models and visualizations. Integration has also been a strong point for us. Since we already work heavily within the Microsoft ecosystem, connecting Power BI with Microsoft Fabric, OneLake, Excel, and other Azure services was pretty seamless. Features like Direct Lake and scheduled refreshes helped improve reporting performance without creating too much additional overhead. For example we used it to pull data from SQL Server and a few Excel based finance reports into OneLake and the Direct Lake connection reduced a lot of the refresh delays we used to deal with in our older import based setup. From a collaboration standpoint, it is much easier to share dashboards and keep everyone aligned on the same metrics. It cut down a lot of the manual back and forth we used to have with exports and static reports. The ROI became noticeable fairly quickly because reporting cycles were faster and business users became more self sufficient. Performance has generally been solid for day to day reporting, although larger datasets still need careful optimization. DAX and report tuning can become a bit of a hurdle as complexity grows, especially for newer users. Support and onboarding were decent overall. There’s a large community and plenty of learning material available, although most teams still need some hands-on experience before getting fully comfortable with advanced modeling and governance. We have also started exploring some of the AI driven capabilities. Features like natural language queries and AI assisted visuals have been useful for speeding up simple analysis, although some of the more advanced AI functionality still feels like it is evolving. **What do you dislike about Microsoft Power BI?** What i have found challenging with Microsoft Power BI is that while the UI is easy enough for basic reporting, things get more complicated once you move into advanced modeling and DAX. New users can build dashboards fairly quickly, but optimizing reports and managing larger datasets takes more experience than expected. Performance is generally good although refresh times and visuals can slow down as you add more layers to the reports. We have also had to spend time managing permissions and governance across Power BI, Fabric and Azure services to keep things organized. Specifically, we ran into a few headaches while setting up Row Level Security (RLS) across a larger Fabric workspace. It was not a deal breaker but it definitely required more trial and error than we initially expected. Pricing can become difficult to track once Premium features and larger capacity requirements come into play so controlling report sprawl is important for maintaining ROI. Support and onboarding are decent overall mainly because of the large community and documentation available but a lot of advanced learning still comes through hands on experience. We have also explored some of the AI driven capabilities. They are useful for speeding up simple analysis and data exploration, although some of the more advanced features still feel like they are evolving. **What problems is Microsoft Power BI solving and how is that benefiting you?** Before using Microsoft Power BI a lot of our reporting was spread across spreadsheets, static exports and manually updated dashboards. Different teams were often working with different versions of the same data, which created delays and too much back and forth whenever leadership needed updated numbers. Power BI helped centralize reporting and gave teams access to live dashboards instead of static reports. Because it integrates well with Microsoft Fabric, OneLake, Excel and Azure services, we were able to connect multiple data sources into a more consistent reporting layer without rebuilding everything from scratch. For example, we used it to pull data from SQL Server and a few Excel based finance reports into OneLake and the Direct Lake connection reduced a lot of the refresh delays we used to deal with in our older import based setup. The biggest benefit has been speed and visibility. Business users can now access dashboards directly instead of waiting on manual reports from the data team, which has reduced turnaround time significantly for day to day reporting. It also improved collaboration since everyone is working from the same metrics and visualizations. One of the biggest operational wins for us was reducing reporting cycles from a few days of manual preparation to near real time visibility for business teams. It also saved the data team several hours each week that were previously spent cleaning and validating spreadsheets before reports went out. From a performance standpoint, features like Direct Lake and scheduled refreshes helped reduce reporting latency for larger datasets. We’ve also started using some of the AI assisted capabilities for quicker data exploration and basic analysis, which has helped non technical users interact with data more independently. Overall it is reduced manual reporting effort, improved data accessibility and made decision making faster across teams, although maintaining performance and governance still requires ongoing attention as usage scales. ### 2. Integrated dashboard with Copilot: powerful analytics, valuable support, and convenient licensing **Rating:** 5.0/5.0 stars **Reviewed by:** Anderson F. | Digital Process Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2026 **What do you like best about Microsoft Power BI?** The possibility of integrating all my systems under an integrated dashboard, thus allowing a friendly and analytical visualization of all my indicators from all the company's systems, now with the new copilot integrations that assist in development with tools and as a guide within the app, the support and help community that this system has is valuable, for quite affordable license prices and the ability to update multiple data sources with a single click without affecting performance thanks to the multiple data loading options we have to choose from. **What do you dislike about Microsoft Power BI?** I feel that the development interface could be more user-friendly, as it has many options that can sometimes be confusing or even conflicting for people looking to develop basic dashboards with high-level indicators. **What problems is Microsoft Power BI solving and how is that benefiting you?** Resolve the lack of transparency and improve data visualization, especially in organizations with multiple software or platforms distributed throughout the organization. This tool makes it possible to treat all data sources as if they were one and manage them under the same business rules. ### 3. Power BI Turns Messy Data into Clear, Fast, User-Friendly Insights **Rating:** 4.0/5.0 stars **Reviewed by:** Connie J. | Procurement Specialist, Government Administration, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about Microsoft Power BI?** Power BI has a lot of features. I don't know where to start, but if I had to pick the "best" thing, it would be how it converts raw, complex, messy data into something that is easy to read and understand. And it does it rather quickly. Power BI is also very user friendly and easy to maneuver. Other apps and programs can sync and connect with no issue and without having to do too much. I also love how it refreshes automatically. **What do you dislike about Microsoft Power BI?** It's a great program, but it's not perfect by a long shot. It can be complex when you start working with formulas. It lags at time when the datasets are a bit larger. Lastly, power queries can be confusing and hard to interpret and understand. **What problems is Microsoft Power BI solving and how is that benefiting you?** It helps me pull everything, from Excel files, SharePoint, and emails, together in one place. It saves me a lot of time, and helps me with collaboration since everyone can see the same report at the same time, and it's updated in real time. ### 4. Power BI Makes Real-Time Dashboards and Multi-Source Reporting Easy **Rating:** 4.5/5.0 stars **Reviewed by:** ARNAB B. | Senior Technical Lead, Hospital & Health Care, Enterprise (> 1000 emp.) **Reviewed Date:** April 25, 2026 **What do you like best about Microsoft Power BI?** It helps in preparing reports, creating dashboards etc. One can connect to multiple data sources using in-built connectors to get real-time data in the report or dashboard. Also, it is possible to create a data model if data is coming from multiple sources. Once the report is created and published, an api gets generated which can be used to refresh the power-bi model from even outside power-bi. **What do you dislike about Microsoft Power BI?** There is nothing major to dislike. But the only issue I have observed so far is, while the refresh fails, it does not trigger any automated notification. **What problems is Microsoft Power BI solving and how is that benefiting you?** I'm to fetch data from Oracle database tables and am to prepare reports. While the connector for fhe DB is a premium one in PowerAutomate, but it's free in Power BI. I have been able to fetch the details from PowerBI and have prepared the report ans using Power Automate, I have accessed the data in report. It has reduced my effort to create the daily report manually. ### 5. Power BI: A Powerful Storytelling Tool For High-Level Insights **Rating:** 5.0/5.0 stars **Reviewed by:** MOHIT C. | Business Intelligence Developer, Consulting, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Microsoft Power BI?** It is important to highlight that what makes Power BI unique is its capability to combine data engineering skills with business storytelling. Apart from its technical aspects, the main advantage of this program is its smooth connection with the existing Excel processes, which makes it extremely user-friendly and accessible, thus enabling people to produce advanced analysis without much hassle. Thanks to its DAX functions and an opportunity to interact with visuals by simply clicking on the screen, this tool turns numeric data into a story. It helps people focus not only on cleaning raw data but on getting valuable insights from it and making the process collaborative through the creation of a single source of truth. **What do you dislike about Microsoft Power BI?** One of the biggest problems, in particular, is the complexity of DAX, despite its capability; it is extremely difficult to understand, and even one mistake, such as the addition of an unintended comma, will create an entirely wrong number that could prove hard to find. In terms of design, the formatting pane seems quite cumbersome because of how many clicks are required to make the simplest design changes. Finally, the program has a very complicated licensing scheme, which often ends up creating bottlenecks where users can produce great reports but cannot share them with colleagues due to a lack of proper licenses. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI addresses the problem of "version control" through the use of a cohesive and automated data model that ensures that all parties involved in decision-making within their respective departments are doing so with the same information up-to-date and in real-time. Personally, what I see in my projects, as the most appealing advantage, is the complete transformation of my role from being a "data processor" to a "strategic advisor", where I will no longer need to worry about performing tedious tasks. By virtue of automating the entire data pipeline, including ingestion and visualising the insights, it saves a lot of time, which I can then spend on other areas. ### 6. Seamless Microsoft Integration and Powerful Dashboards with Power BI **Rating:** 5.0/5.0 stars **Reviewed by:** Archana R. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2026 **What do you like best about Microsoft Power BI?** The seamless integration with other Microsoft tools like Excel, Teams, and Azure makes Power BI incredibly convenient. The drag-and-drop interface allows non-technical users to build powerful dashboards quickly, while the DAX formula language gives analysts deep customization. Real-time data refresh and the ability to share reports across an organization without extra licensing costs are major advantages. **What do you dislike about Microsoft Power BI?** The learning curve for DAX can be steep for new users, and the desktop app is Windows-only, which excludes Mac users from the full experience. Performance can slow down significantly with large datasets, and the UI can feel cluttered. Licensing costs also add up quickly when sharing reports with external stakeholders outside your organization.” **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI has eliminated the need for manual reporting by centralizing data from multiple sources into a single dashboard. This saves hours of weekly effort and gives leadership real-time visibility into KPIs. It’s helped our team make faster, data-driven decisions and reduced our reliance on IT for routine reporting requests ### 7. Effective for Analytics but Complex Setup **Rating:** 3.5/5.0 stars **Reviewed by:** Anirudh V. | Digital Marketing Specialist, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Microsoft Power BI?** I like the minimalistic interface of Microsoft Power BI. It's very straightforward, where it's just about adding the checkboxes and getting the data done. It also simplifies creating graphs and exporting the data for use in external tools. **What do you dislike about Microsoft Power BI?** Sometimes when the data is vast, Microsoft Power BI tends to have so many options, and there's no feature for viewing operations within the dashboard, which makes it more complicated if the dataset size is huge. It's also very difficult to understand and navigate through the various options for each start. The initial setup isn't that easy because data needs to be stitched from multiple sources, making it difficult to centralize data into Power BI, as it's a very manual process. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to visualize the complete marketing funnel, track where leads get stuck, and measure conversion times. It's easy to use for creating graphs and exporting data, simplifying analytics and marketing operations. ### 8. Power BI works really well with Microsoft Fabric for reporting **Rating:** 4.5/5.0 stars **Reviewed by:** Ritik J. | Software Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 15, 2026 **What do you like best about Microsoft Power BI?** I’ve been using Microsoft Power BI mainly for reporting and dashboard creation. In one of our projects we connected Power BI directly to warehouse tables and views in Microsoft Fabric, and the experience was pretty smooth. What I like most is how quickly you can turn structured data into a dashboard. Once the connection with the warehouse is set up, creating visuals like charts, KPIs, and filters is quite straightforward. Business users in our team prefer dashboards over raw tables, so Power BI helps a lot in presenting the data in a clear way. Another thing I find helpful is Power Query for simple transformations. Even if the data is mostly prepared in the warehouse, sometimes small adjustments are needed and Power BI handles that well. **What do you dislike about Microsoft Power BI?** When reports start getting bigger with many visuals, performance can sometimes slow down a bit. It usually works fine but you need to design the model carefully if the dataset grows. Also, learning DAX properly takes some time. Basic reports are easy, but advanced calculations definitely require practice. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps us convert warehouse data into meaningful reports that business users can easily understand. Instead of manually preparing Excel reports every time, we now have dashboards that update automatically when the warehouse data refreshes. This saves a lot of time and makes it easier for teams to track important metrics and trends. ### 9. Easy Data Connections and Storytelling Visuals for Sharing Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Johannes E. | Group Internal Audit - Lead Operations AMS, Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Microsoft Power BI?** The ability to connect data is really great. As a user, it’s fairly easy to navigate once you get the hang of it. It can feel daunting at first, but with minimal effort you start to understand the key features and feel comfortable pretty quickly. It helps us connect multiple data sets and sources using a primary key, similar to how you can in other tools, and it also lets you visualise the story behind the data. It really helps users paint a picture with the data. We use it very often to share key insights with both immediate and extended stakeholders. **What do you dislike about Microsoft Power BI?** I’d love to see PowerBi offer data-prep and clean-up capabilities more in line with other tools. Ideally, when I load a file, it would proactively flag issues to fix, instead of being so strict about the source dataset needing to be structured a certain way with data types already clearly defined. As it stands, changing data types can be time-consuming, and the same goes for handling NULL values (or cases where zero values should really be treated as NULL, etc.). I also find it can be fairly resource-intensive, especially for users who aren’t very familiar with data-flow optimisations. On top of that, there are some logical inconsistencies that raise the barrier to entry and make scaling the product harder. For example, matching on duplicates is case-sensitive in certain parts of the tool but not in others. That can let something pass initial checks, only to fail later when you start linking relationships. Lastly, having the option to show grid-style visuals (even if that feels like something you’d normally do in Excel) would be genuinely helpful, and I think it would make the product more approachable for non-technical users and slower adopters as well. **What problems is Microsoft Power BI solving and how is that benefiting you?** We have different teams across different countries, which creates many possible combinations of data. The biggest benefit PowerBi provides is that teams can view and work with different data layouts through intuitive filtering. For example, if Team A in Country Z wants to see how well they are meeting deadlines for specific tasks, they can track that quarter over quarter. It also allows us to bring datasets together from various sources, which is really helpful. Overall, it gives users a more holistic view, whereas their individual instance would otherwise only show the data relevant to that specific environment. ### 10. Flexible Dashboards with Strong Data Connectivity **Rating:** 5.0/5.0 stars **Reviewed by:** Marco B. | Director of CRM, Enterprise (> 1000 emp.) **Reviewed Date:** May 13, 2026 **What do you like best about Microsoft Power BI?** Power BI is a very strong tool for data visualization and dashboarding, especially within the Microsoft ecosystem. It connects easily to multiple data sources and handles large datasets well. The reporting capabilities are flexible, while still remaining relatively easy for business teams to use. **What do you dislike about Microsoft Power BI?** The interface can feel cluttered and not as intuitive as some newer BI tools. Performance can also slow down when working with complex models or large reports, and collaboration and version management aren’t always seamless. On top of that, some of the more advanced features require fairly strong technical knowledge to use effectively. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps centralize data from different sources into a single reporting environment. It makes KPIs, trends, and operational performance easier to monitor through automated dashboards. This improves visibility, reduces manual reporting effort, and supports faster decision-making across teams. ## Microsoft Power BI Discussions - [Is Power BI a Microsoft tool?](https://www.g2.com/discussions/is-power-bi-a-microsoft-tool) - 5 comments, 3 upvotes - [What can Microsoft Power BI do?](https://www.g2.com/discussions/what-can-microsoft-power-bi-do) - 2 comments, 2 upvotes - [What is Microsoft Power BI Desktop used for?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop-used-for) - 4 comments, 1 upvote - [HOW DO I START MY CAREER IN IT?](https://www.g2.com/discussions/how-do-i-start-my-career-in-it) - 2 comments, 1 upvote - [How do you rate the MS Power BI Desktop compared other BI tools available in the market?](https://www.g2.com/discussions/how-do-you-rate-the-ms-power-bi-desktop-compared-other-bi-tools-available-in-the-market) - 2 comments, 1 upvote - [View Microsoft Power BI pricing details and edition comparison](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-12678340?section=pricing&secure%5Bexpires_at%5D=2026-05-18+17%3A10%3A23+-0500&secure%5Bsession_id%5D=14288666-c259-4cde-9aeb-c0bfbb998c8e&secure%5Btoken%5D=25ffbc49be19af6bce04a8f8df6ac351ef358dadfc8cca27717bf1d38b9b0082&format=llm_user) ## Microsoft Power BI Integrations - 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Dashboards **Data Preparation** - Connectors - Data Governance **Deployment & Integration - Semantic Layer Tools** - Multi-Environment & Multi-Cloud Support - Open API & SDK Integration **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Data Connectivity & Federation - Semantic Layer Tools** - Cross-Source Query Federation - Dynamic Schema & Metadata Adaptation **Generative AI** - AI Text Generation - AI Text Summarization **Data Modeling & Metrics - Semantic Layer Tools** - Derived & Calculated Metrics - Time Intelligence Functions **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance Optimization - Semantic Layer Tools** - Query Caching & Acceleration - Adaptive Query Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - 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