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A unified data platform for BI, AI, and the data warehouse.

Microsoft Fabric

A unified data platform for BI, AI, and the data warehouse.
 
 
 
 
 
 
 
 
Updated on 23. Jun 2026 by SoftGuide

What is Microsoft Fabric?

Microsoft Fabric is a unified, cloud-based analytics and data platform from Microsoft. The solution brings together key capabilities for data integration, data preparation, data engineering, data science, data warehousing, real-time analytics, business intelligence, and AI-powered analysis in a single environment. Organizations can use it to consolidate data from various sources, structure and prepare it, analyze it, visualize it, and leverage it to make informed decisions.

At its core is the idea of bringing data teams, business units, and decision-makers together on a single platform. Instead of operating multiple separate specialized tools and copying data between systems multiple times, Microsoft Fabric offers an integrated work environment with a shared data foundation. OneLake serves as a central, logical data lake for analytical information. This allows different workloads to access the same data foundation and enables data projects to be implemented more efficiently.

Microsoft Fabric helps organizations modernize their data landscape. Data engineers can ingest, transform, and deploy data into lakehouse or data warehouse structures. Analysts and financial controllers gain tools for interactive analysis, dashboards, and reporting. Data science teams can use notebooks, models, and AI-powered workflows. Business users benefit from self-service analytics and Copilot features that use natural language to create analyses, queries, and reports more quickly.

Benefits of Microsoft Fabric

The platform reduces complexity in data and analytics processes by more closely integrating data integration, storage, processing, governance, and visualization. Organizations gain a unified foundation for data-driven decisions, real-time insights, and AI initiatives. Thanks to the SaaS approach, many technical operational tasks do not need to be set up separately, while security, governance, and compliance functions are supported centrally.

Highlights and Key Features

  • Unified data platform for data integration, data engineering, data science, data warehousing, real-time intelligence, and business intelligence.
  • OneLake as a central data lake for organization-wide analytics and data scenarios.
  • Data Factory capabilities for data ingestion, transformation, pipelines, and complex ETL processes.
  • Data warehouse and lakehouse for structured, semi-structured, and large volumes of data.
  • Power BI-integrated visualization, interactive dashboards, and reporting for business units and management.
  • Real-time analytics for streaming data, events, IoT scenarios, logs, and operational metrics.
  • Copilot and AI capabilities to assist with queries, pipelines, notebooks, reports, and insights.
  • Security and governance features for access control, data catalog, compliance, and tenant management.
  • Integration with Microsoft 365, Azure environments, and established analytics processes.

Microsoft Fabric is particularly well-suited for companies that want to consolidate data from multiple sources, analyze it more quickly, and use it to inform both operational and strategic decisions. The platform supports both professional data teams and business users, creating a powerful foundation for business intelligence, data warehousing, AI analytics, and a modern data culture.

Functions (excerpt) of Microsoft Fabric:

access controls
Access management
Access rights
AI Agents
AI Assistance
AI-assisted development
AI-Chat
Alerts
API interfaces
Authentication
Authorization management
Automation
Automation workflows
big data
Big Data Analytics
Business Charts
Business Intelligence (BI)
Client management
Collaboration
Compliance management
Connectors and adapters
Dashboards
Data acquisition
Data analysis
Data encryption
Data export
Data import
Data integration
Data Mapping
Data merging
Data modeling
Data queries
Data sources
Data visualization
Data warehouse
Database
Database access
database integrity
Database interfaces
Database queries
Diagrams
E-mail alerts
Encryption
ETL Processes
Forecasting
Forecasting and planning
Full text search
Integration of office software
Interfaces
Key figure reports
Key figures and key figure systems
Monitoring functions
Multilingualism
Multiple data sources
Multitenancy
partitioning mechanisms
Predictive analytics with AI
Process automation
Process Monitoring
Real-time tracking
Replication
Report management
Role Management
Search strategies
Single Sign On / API
Software integration
SQL queries
Standard interfaces
Threshold alerts
Trend analyses
User authentication
User management
Visualization
Web service integration
Workflow Designer
Workflow management
Workflow optimization

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Technical specifications:

Manufacturer:
Microsoft Deutschland GmbH
Web-based:
yes
SaaS, Cloud:
yes
On-premises (local installation):
no
AI Supported:
no
Multi-user (network-compatible):
yes
Multi-client compatible:
yes
Manufacturer based in:
Germany
Dialogue language(s):
English, German, Chinese, Dutch, French, Italian, Japanese, Korean, Portuguese, Spanish
System requirements:
Compatible operating systems (runs with):
Win 11
Win 10
Win Server
Mainframe based
Unix based
Linux based
Mac OS
Mobile OSs (supports):
iOS
Android