The alliance between Microsoft and SAP is more than a technology partnership — it’s a blueprint for enterprise transformation. For decades, SAP has been the backbone of the world’s most critical business processes. In parallel, Microsoft Azure has built a robust cloud foundation spanning infrastructure, data, analytics, and AI — enabling organizations to scale securely, innovate continuously, and operate with confidence.

With RISE with SAP on Azure and Microsoft Fabric, this partnership now places the customer — not the technology — at the center of business reinvention.

The objective is twofold: help enterprises migrate mission-critical SAP workloads to Azure with confidence, and unlock analytics, AI, and innovation on top of that data. Security, compliance, reliability, performance, and cost efficiency are baseline expectations. The true differentiation lies in enabling enterprises to modernize end-to-end and evolve into what Microsoft defines as AI-Frontier Firms — organizations that use data and AI not only to run their business, but to reinvent it.

1.- Why Microsoft Fabric Matters

Microsoft Fabric provides the data and intelligence foundation required to become a Frontier Firm.

Fabric unifies data ingestion, engineering, warehousing, analytics, and real-time insights into a single SaaS platform built on OneLake — eliminating silos across the enterprise. Through shared semantic models, both humans and AI operate on governed business definitions rather than raw tables. By design, Fabric prepares enterprise data for Copilots and AI agents — enabling reasoning, automation, and insight generation, not just reporting.

This foundation enables human-agent collaboration at scale. AI agents continuously analyze data and surface insights, while people focus on judgment, strategy, and execution. Native integration with Microsoft Purview ensures lineage, security, access control, and responsible AI, while tight integration with Power BI and Microsoft 365 accelerates the path from insight to action.

In short, Microsoft Fabric transforms enterprise data into operational intelligence.

2.- From Modernization to Business Reinvention

Many Chief Information Officers (CIOs) have successfully moved SAP workloads to Microsoft Azure — but often stop at “lift and shift”. Systems become secure, performant, and cost-optimized, yet the broader Microsoft ecosystem remains underutilized. In my opinion, this is where the missed opportunity becomes significant: modernization without integration leaves untapped value on the table.

I'm sure Chief Data Officers (CDOs) will agree with me that true value comes from a full-platform vision that connects SAP modernization to data unification, analytics, and AI. Leading enterprises are adopting a three-horizon strategy:

1. Stabilize and Migrate – Run SAP RISE on Azure with enterprise-grade security, compliance, and performance.

2. Modernize and Unify – Integrate SAP data with the enterprise data estate using Microsoft Fabric.

3. Transform with AI – Activate analytics, AI agents, and intelligent applications powered by unified data.

Here is where Microsoft Fabric enters as it's the engine driving horizons two and three—turning raw data into actionable insights and AI-driven business outcomes.

3.- Microsoft Fabric: The AI-Ready Data Backbone

Microsoft Fabric unifies data integration across cloud and on-premises environments, enabling near-real-time access and zero-ETL replication through innovations like Mirroring and Fabric Data Factory Copy Jobs.

Key innovations for SAP data include:

1. Mirroring for SAP Datasphere: Replicates SAP data into OneLake while preserving business logic, security, and lineage.

2. Copy Job for SAP Datasphere: Designed for petabyte-scale data movement, incremental updates, and CDC, with multi-cloud support.

This approach ensures SAP data is unified with non-SAP systems and ready for enterprise-wide analytics and AI.

3.1.- Mirroring for SAP Datasphere

As announced by Arun Ulag at FabCon 2026, Microsoft Fabric’s Mirroring for SAP is now generally available (GA), enabling organizations to continuously replicate data into OneLake with minimal latency. This allows near real-time analysis of operational data without complex ETL pipelines — a major step toward making OneLake the central analytics hub.

Built on SAP Datasphere’s Premium Outbound Integration, the process works in two steps: SAP Datasphere extracts and lands data in ADLS Gen2, and Fabric’s mirroring engine continuously integrates it into OneLake.

This integration provides access across the SAP ecosystem, including SAP S/4HANA, SAP ECC, SAP BW, SAP BW/4HANA, and solutions like SuccessFactors, Ariba, and Concur.

Key benefits of Mirroring for SAP include:

• Eliminate data silos: Bring SAP data alongside other enterprise sources in OneLake.

• End-to-end governance: Maintain data lineage and compliance for auditability.

• Accelerated insights: Enable near real-time analytics without custom ETL pipelines.

As always, I like to address the cost conversation upfront. In this scenario, Microsoft Fabric compute for replication is free, and mirroring storage is free up to capacity limits. Standard charges apply for downstream compute (e.g., data engineering and Power BI). There are no network ingress fees into OneLake. For more details, see Edition #7 of The Data Massagist Newsletter: The Economics of Modern Data Platforms (Microsoft Fabric vs. Azure Databricks).

It’s important to note, however, that SAP Datasphere Premium Outbound Integration pricing still applies.

3.2.- Copy Job for SAP Datasphere

Another effective approach to bring data from SAP into Microsoft Fabric is using Copy Job in Fabric Data Factory — particularly for large-scale historical data movement.

This capability enables organizations to move and distribute data from SAP sources — on-premises or cloud — across Azure, AWS, Snowflake, and beyond. It provides true multi-cloud flexibility and ensures data is available where it’s needed for analytics and innovation.

In this case, costs include Fabric Data Factory compute and OneLake storage (in compressed Delta format).

3.3.- Executive summary of Microsoft Support for SAP Data Ingestion

As you can see, Microsoft Fabric continues to expand its capabilities for ingesting and integrating data from SAP environments, supporting both traditional ETL approaches and emerging zero-ETL paradigms. Through features such as Data Factory and Mirroring, the platform already enables connectivity across a broad range of SAP products, with additional innovations on the roadmap.

To help set expectations, the following outlines what is currently available, what is in preview, and what is coming next.

3.3.1.- Generally Available (GA) Capabilities

Microsoft Fabric delivers mature, production-ready integration capabilities for core SAP systems, including SAP S/4HANA (on-premises and cloud) and SAP ERP.

With the general availability of mirroring via SAP Datasphere, Fabric takes a significant step toward near real-time data integration. Alongside this, a comprehensive set of Microsoft-native connectors in Fabric Data Factory enables flexible and scalable data ingestion:

• SAP Table connector (DDIC tables, ABAP CDS views)

• SAP HANA connector (tables, views, calculation views)

• SAP BW connector (multidimensional analytics via BW queries and CDS views)

• OData and ODBC connectors

Additional supported capabilities include SAP BW Open Hub integration through pipelines and copy jobs for structured data extraction, as well as the Azure Data Factory SAP CDC connector (ODP-based) for delta extraction, subject to SAP licensing considerations.

For SAP Datasphere, Fabric supports structured data access via both ODBC and SAP HANA connectors.

Similarly, SAP Business Technology Platform is supported through SAP HANA and ODBC connectors, enabling seamless access to SAP HANA Cloud and Datasphere environments.

3.3.2.-Preview Capabilities

Fabric is also introducing newer capabilities that move toward near real-time and large-scale data integration.

• Copy Job for SAP Datasphere Supports petabyte-scale data movement from SAP sources into OneLake or other destinations (such as ADLS Gen2 or AWS S3). It enables bulk, incremental, and CDC-based ingestion patterns.

• SAP Cloud Applications Integration Applications such as SAP SuccessFactors, SAP Ariba, and SAP Concur are supported indirectly through SAP Datasphere for both Mirroring and Copy Job scenarios.

• Open Mirroring via Third-Party Tools Solutions such as Theobald Xtract Universal enable near real-time replication from S/4HANA and ECC without relying on SAP ODP frameworks.

3.3.3.-Coming Soon

• SAP Business Data Cloud (BDC) Connect for Microsoft Fabric Planned for general availability in Q3 2026, this capability will enable bi-directional, zero-copy data sharing between SAP BDC and Microsoft Fabric.

3.3.4.-Limited or Indirect Support

Some SAP solutions currently have limited or indirect integration options:

• SAP Business One As far as I know, there is no official native support; access may be possible through underlying database connectors such as SAP HANA or SQL Server.

• SAP Business ByDesign Not currently supported by Fabric connectors or Mirroring; integration typically requires custom development or third-party tools.

4.- AI-Driven Insights from Unified Data

For CIOs and CDOs, the strategic value lies in activating AI. By bringing SAP and operational, customer, and external data together in OneLake, Microsoft Fabric creates a single source of truth.

As an example, Fabric Data Agents can reason over this unified data to deliver intelligent insights, automation, and decision support—whether it’s combining financial data with supply chain metrics or correlating customer behavior with market signals.

Looking ahead, SAP Business Data Cloud Connect for Microsoft Fabric will enable zero-copy, bi-directional data access, providing enterprise-wide AI and analytics without replication overhead. This positions organizations to unlock the full potential of SAP data across Microsoft 365, Power BI, and AI Foundry—making data actionable for hundreds of millions of users.

5.- From Cloud Modernization to AI‑Frontier Firms

A Frontier Firm is a human-led, agent-operated organization — one that moves beyond isolated AI experiments and redesigns how work gets done around intelligence on demand.

These organizations:

• Embed AI across business functions

• Operate on trusted, governed data

• Scale decision-making through human-agent collaboration

They are not built on models alone — but on data that is unified, contextual, and AI-ready.

By connecting SAP and non-SAP systems through Microsoft Fabric, enterprises enable AI agents to reason across the business — continuously analyzing data, identifying patterns, and supporting decisions at speed — while humans remain in control of strategy and accountability.

This is the shift:

• From dashboards to decision intelligence

• From automation to agent-driven workflows

• From experimentation to enterprise-scale AI

6.- What This Means for CIOs and CDOs

For CDOs, Microsoft Fabric ensures semantic consistency, trust, and governance — enabling explainable and reliable AI outcomes.

For CIOs, it simplifies the data landscape, reduces platform sprawl, and provides a secure, scalable foundation for AI without increasing technical debt.

Together, SAP on Azure and Microsoft Fabric align IT modernization with business reinvention.

7.- The Executive Takeaway

SAP modernization is the starting line. Microsoft Fabric enables enterprise-wide intelligence. AI-driven innovation defines the outcome.

Organizations that connect these elements will lead as AI-Frontier Firms — competing not just on efficiency, but on intelligence, speed, and their ability to continuously reinvent the business.