DataHub on Microsoft Fabric

A Fabric-native architecture designed to power capital markets data, analytics, and AI workflows at enterprise scale.

Native, not integrated.

Many data platforms connect to Microsoft Fabric as external systems.DataHub is different.

DataHub is architected directly on Microsoft Fabric and OneLake, enabling data discovery, normalization, governance, and delivery to operate within the same unified platform used for analytics and AI.

This architecture eliminates data duplication, reduces operational complexity, and ensures consistent governance across all workloads.

Fabric-native architecture for capitalmarkets data.

DataHub operates as a structured data layer within Microsoft Fabric, organizing capital markets datasets into governed models that can be consumed across analytics, applications, and AI workflows.

Why Microsoft Fabric for capital markets workloads.

Capital markets organizations require a platform capable of handling complex data pipelines, large financial datasets, and demanding analytics workloads. Microsoft Fabric provides the unified infrastructure required to support these demands while integrating seamlessly with enterprise cloud environments.

Unified data platform

Data engineering, analytics, and machine learning operate within a single architecture.

Enterprise-grade governance

Security, lineage, and entitlements operate across all workloads.

Integrated analytics ecosystem

Power BI, Azure AI, and enterprise applications connect directly to the same governed datasets.

Operational resilience

Fabric provides the scale and reliability required for mission-critical financial data systems.

Copilot-enabled analytics

Enable natural language interaction with governed financial data.

Secure AI access

Maintain entitlements, row-level security, and auditability across AI workflows.

AI research assistants

Generate insights from financial datasets using AI agents.

Scale with demand.

Microsoft Fabric’s consumption-based architecture allows organizations to scale compute and analytics workloads dynamically as data volumes and usage grow.

DataHub leverages this architecture to support:

Large-scale time-series analytics
High-frequency data pipelines
Multi-team analytics workloads
AI-driven research systems

This ensures that organizations can scale data infrastructure without re-architecting their platforms.

Introduced at Microsoft Fabric Conference.

DataHub for Capital Markets was launched as Microsoft Fabric workload to demonstrate how capital markets organizations can leverage Fabric to modernize their data infrastructure. The launch highlighted how Fabric-native architectures enable a new generation of analytics, AI, and operational workflows across financial institutions.