Fabric
AI-powered analytics platform Microsoft Fabric unifies data engineering, business intelligence, data science, and real-time analytics with Copilot and automated data preparation for faster, shared-capacity insights.
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Key Features
AI-Powered Copilot
Natural-language queries and contextual suggestions that let users ask analytics questions without SQL.
Automated Data Prep
AI-driven profiling, schema detection, and transformation suggestions to speed cleaning and onboarding.
Real-Time Intelligence
Streaming analytics with live model scoring and instant alerting for low-latency decisions.
OneLake Architecture
Single lakehouse storing structured and unstructured data accessible to all workloads on the platform.
ML Endpoints (Preview)
Secure online model endpoints for real-time predictions and batch scoring across Fabric workloads.
Data Agents & Copilot Studio
Fabric data agents integrate with Copilot Studio and Azure AI Agent Service for multi-agent workflows.
Prebuilt Foundry Tools
Prebuilt AI models and integrations for rapid data enrichment using Azure AI services.
Admin APIs & SKU Estimator
APIs and estimator tools to manage workspaces, access, and right-size capacity for cost planning.
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Why Choose Fabric
Unified toolset:
Replaces multiple Microsoft analytics tools with one shared interface and OneLake data repository for faster delivery.AI automation:
Copilot and AI functions automate data profiling, cleaning, and insight generation to reduce manual work.Real-time decisions:
Streaming analytics with live model scoring enables rapid responses to events and alerts.Lower TCO:
Consolidating Power BI, Synapse, and Data Factory into Fabric typically reduces total cost of ownership.
Pricing
Microsoft Fabric uses capacity-based SKUs (F2–F256). Entry-level F2 starts at ~£200/month PAYG; F4 ~£400, F64 ~£6,400. Pay-as-you-go billing by the second or 1-year reserved commitments with ~30–40% discounts. F2–F32 require Power BI Pro per viewer; F64+ include viewer access.
About Fabric
AI-powered analytics platform Microsoft Fabric unifies data engineering, business intelligence, data science, and real-time analytics with Copilot and automated data preparation for faster, shared-capacity insights.
What Fabric Does
Microsoft Fabric centralizes analytics by letting teams ingest, store, transform, model, and visualize data inside OneLake. Users run data pipelines, Spark notebooks, SQL workloads, Power BI models, and streaming analytics on a shared capacity pool to reduce data movement and speed collaboration.
Fabric automates tasks with AI: Copilot answers natural-language queries, automated data profiling and smart schema detection prepare data, and AI functions enable sentiment analysis, extraction, summarization, and real-time model scoring without heavy coding.
Typical use cases include enterprise BI consolidation, real-time event processing for retail and manufacturing, predictive model serving, and cross-team analytics for large organizations consolidating multiple Microsoft data tools.
Pros & Cons
Unified platform
Consolidates BI, data engineering, and data science on a shared OneLake repository.
Cost savings
Consolidation can reduce costs 30–40% versus maintaining separate Microsoft analytics tools.
AI features
Copilot and AI functions reduce manual preparation and make analytics accessible to non-coders.
Real-time analytics
Live scoring and streaming enable timely operational decisions across industries.
Higher costs
Pay-as-you-go pricing can be expensive for small teams without reserved capacity commitments.
Capacity planning
Requires active FinOps and governance to right-size SKUs and control total spend.
Learning curve
Non-technical users may still need training despite Copilot and automation features.
Frequently Asked Questions
Microsoft Fabric integrates AI across the platform: Copilot for natural-language queries, automated data profiling and transformation suggestions, and AI functions for sentiment, extraction, summarization, and model scoring.
Microsoft Fabric supports multiple AI providers and models, including Azure OpenAI (GPT-5 configuration options), Claude via foundry integrations, and LLaMA, plus configurable reasoning and embedding capabilities.
Microsoft Fabric AI functions include ai.summarize, ai.extract, ai.analyze_sentiment, ai.embed, and ai.generate_response for structured outputs, plus Copilot assistance and automated profiling.
Microsoft Fabric processes streaming data, applies live model scoring to events, and triggers alerts so teams can act on low-latency insights for use cases like fraud detection and predictive maintenance.
Microsoft Fabric can be cheaper when consolidating multiple workloads: replacing isolated Power BI Premium often improves total cost of ownership by adding data engineering and AI capabilities under a capacity SKU.
Microsoft Fabric entry-level capacity (F2) is approximately £200/month PAYG; however, F2–F32 require Power BI Pro per viewer, while F64+ include viewer access and reduce per-user licensing needs.
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