--- title: Microsoft Fabric Reviews meta_title: 'Microsoft Fabric Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 45 reviews by the users' company size, role or industry to find out how Microsoft Fabric works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 45 scale: '5' date_modified: '2026-07-17' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Microsoft Fabric Reviews **Vendor:** Microsoft **Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) **Average Rating:** 4.7/5.0 **Total Reviews:** 45 ## About Microsoft Fabric Microsoft Fabric is a comprehensive, AI-powered data analytics platform that unifies various data management and analysis tools into a single, integrated environment. It combines the capabilities of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory, offering a seamless experience for data integration, engineering, warehousing, real-time analytics, data science, and business intelligence. By centralizing these services, Fabric simplifies data management, enhances collaboration, and accelerates the transformation of raw data into actionable insights. Key Features and Functionality: - Unified Data Lake (OneLake): Fabric provides a single, AI-ready data lake that centralizes and curates all business data within a unified, governed hub, ensuring all teams access accurate datasets securely. - AI-Powered Tools: The platform offers AI-enhanced tools tailored for various data projects, enabling teams to innovate faster and derive near real-time insights that drive business impact. - Integrated Analytics Solutions: Fabric encompasses data integration, data engineering, data warehousing, real-time analytics, data science, and business intelligence, all hosted on a lake-centric SaaS solution for simplicity and to maintain a single source of truth. - Built-in Security and Governance: With robust data security, governance, and compliance features, Fabric ensures that data is managed responsibly and in accordance with industry standards. Primary Value and User Solutions: Microsoft Fabric addresses the complexities associated with managing disparate data systems by providing a unified platform that streamlines data workflows. It empowers organizations to harness the full potential of their data, facilitating informed decision-making and fostering innovation. By integrating various data services, Fabric reduces operational overhead, enhances productivity, and supports the development of AI-driven solutions, positioning businesses to thrive in a data-centric landscape. ## Microsoft Fabric Pros & Cons **What users like:** - Users find the **ease of use** of Microsoft Fabric exceptional, allowing seamless adoption even without technical experience. (15 reviews) - Users value the **friendly and responsive customer support** that effectively addresses all inquiries and concerns. (8 reviews) - Users find Microsoft Fabric to be **incredibly intuitive** , making data management accessible for everyone in the organization. (7 reviews) - Users find the **easy setup** of Microsoft Fabric makes it accessible for teams with no prior ETL experience. (6 reviews) - Users value the **integration of tools** in Microsoft Fabric, enhancing usability and offering extensive features for efficiency. (6 reviews) - Community Support (5 reviews) - Data Integration (5 reviews) - Solution Efficiency (5 reviews) - Time-saving (5 reviews) - User Interface (5 reviews) **What users dislike:** - Users struggle with **formula limitations** in Microsoft Fabric, as some formulas differ from their familiar Excel environment. (3 reviews) - Users face a significant **learning curve** with Microsoft Fabric, which can hinder new users' experience and efficiency. (3 reviews) - Users find **Excel formula issues** frustrating, causing delays while adjusting to Microsoft Fabric's different formula logic. (2 reviews) - Users find a **steep learning curve** in Microsoft Fabric, which can complicate usage for newcomers to the platform. (2 reviews) - Users find that **training is required** to adjust to Microsoft Fabric's formula differences from Excel, but support is available. (2 reviews) - buggy Interface (1 reviews) - Users find Microsoft Fabric's **complexity and steep learning curve** overwhelming, especially for smaller teams and beginners. (1 reviews) - Complex Logic (1 reviews) - Complex Setup (1 reviews) - Dependency Issues (1 reviews) - [View Microsoft Fabric pricing details and edition comparison](https://www.g2.com/products/microsoft-fabric/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-08-01+14%3A45%3A54+-0500&secure%5Bsession_id%5D=20dc3d1b-76d6-4925-9101-5ee512fc43dd&secure%5Btoken%5D=ec65dc715a0e75f01caeab59e59786475b1abfbbeeb0df8b2100c69038c00aed&format=llm_user) ## Microsoft Fabric Integrations - [Azure Logic Apps](https://www.g2.com/products/azure-logic-apps/reviews) - [Azure Portal](https://www.g2.com/products/azure-portal/reviews) - [Confluence](https://www.g2.com/products/confluence/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Microsoft Power Apps](https://www.g2.com/products/microsoft-power-apps/reviews) - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews) - [Slack](https://www.g2.com/products/slack/reviews) ## Microsoft Fabric Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Operations** - Metrics - Infrastructure management - Collaboration **Management** - Cataloging - Monitoring - Governing **Generative AI** - AI Text Generation - AI Text Summarization ## Top Microsoft Fabric Alternatives - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (213 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,327 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (774 reviews)