The Unified
Data Estate
Stop stitching together services. Microsoft Fabric offers a single, AI-powered platform that combines Data Engineering, Science, and BI into one SaaS experience.
Fabric Copilot Enabled
Automate code generation and insights with GPT-4 directly in your workspace.
Why Microsoft Fabric?
Microsoft Fabric is a unified SaaS analytics platform that brings together data engineering, data science, real-time analytics, and business intelligence. Here's why it's transforming how enterprises work with data.
OneLake: One Copy of Data
Store your data once in OneLake and access it from any Fabric workload. No more data silos, no more copying data between services. Like OneDrive, but for your entire data estate.
Unified Experience
One platform for everything: Data Factory, Synapse, Power BI, and Data Activator. No more stitching together separate services. Single security model, single billing, single interface.
AI-Powered with Copilot
Copilot is built into every Fabric experience. Generate code, create reports, build data pipelines, and get insights using natural language. AI assistance at every step of your workflow.
SaaS Simplicity
No infrastructure to manage, no clusters to configure. Fabric is fully managed with automatic scaling, updates, and maintenance. Focus on insights, not infrastructure.
Open Data Formats
Built on open standards: Delta Lake, Parquet, and Apache Spark. Your data isn't locked in. Integrate with existing tools and access data from any compute engine.
Direct Lake Mode
Power BI reports query OneLake directly without importing data. Get real-time performance on petabyte-scale datasets. No more scheduled refreshes or import limits.
Core Capabilities
Everything you need in one unified platform.
OneLake Storage
The OneDrive for data. Store data once in open Delta Parquet format and access it from any engine (SQL, Spark, KQL) without duplication.
Direct Lake Mode
Power BI reports query data directly from OneLake without importing. Real-time performance on petabyte-scale data.
Real-Time
KQL databases for log analytics and telemetry streams.
Data Science
Integrated notebooks with native MLflow support.