Sep 11, 2026
•3 minute read
SAP Data Integration
SAP Data Integration: Combining SAP and Non-SAP Data into a Unified Enterprise View
As SAP customers increasingly operate across hybrid landscapes that include SAP S/4HANA, legacy ERP systems and third-party applications, data integration has become a business imperative for providing a single, unified view of enterprise information. Modern integration approaches include cloud-based platforms, API management, ETL processes and real-time data streaming. SAPinsider analysis of SAP BTP integration shows that 85% of organizations rank integration as the most important SAP BTP capability and now integrate an average of 37 different applications.
What Is SAP Data Integration?
SAP Data Integration encompasses the practices, tools and architectural approaches used to combine data from different sources into a single, unified view for analysis and business use. Key SAP integration tools include SAP Data Services for ETL and data quality, SAP HANA smart data integration, SAP Landscape Transformation Replication Server, SAP Data Hub, and SAP Integration Suite.
What Use Cases Are Referenced?
SAP BTP Integration Connects Multiple Applications
Organizations use SAP Business Technology Platform integration capabilities to connect an average of 37 different applications, with 85% ranking integration as the most important BTP capability for enterprise data management and analytics.
ETL Processes Consolidate Data for Business Intelligence
Companies implement ETL processes to consolidate data from SAP and non-SAP sources into unified data warehouses and data lakes, enabling comprehensive business intelligence and reporting across the enterprise.
Real-Time Data Replication Supports S/4HANA Analytics
SAP Landscape Transformation Replication Server enables real-time data replication from SAP and non-SAP sources to SAP HANA, supporting real-time analytics and reporting requirements for organizations running S/4HANA.
API-Based Integration Enables Cloud-to-Cloud Connectivity
Enterprises use API management and SAP Integration Suite to enable seamless connectivity between cloud-based SAP applications, third-party SaaS services and on-premise systems, supporting modern hybrid and multi-cloud architectures.
Data Pipeline Orchestration Manages Complex Data Flows
Organizations deploy data pipeline orchestration tools including SAP Data Hub to manage complex data flows across multiple sources, transform data at scale and deliver integrated data to downstream analytics and AI applications.
What SAPinsider Research Supports This Topic?
SAPinsider SAP BTP Data Integration and AppDev Report
SAPinsider SAP BTP Data, Integration and AppDev 2025 report found that 85% of organizations rank integration as the most important BTP capability and now integrate an average of 37 different applications, highlighting integration complexity.
SAPinsider SAP Integration Strategy Coverage
SAPinsider analysis of SAP integration strategies examines how organizations balance various integration approaches including ETL, real-time replication, API management and cloud-based platforms to achieve unified data access.
SAPinsider SAP Data Services and Data Quality Analysis
SAPinsider reporting on SAP data integration tools explores how SAP Data Services addresses the challenges of siloed data across enterprise landscapes.
SAPinsider SAP Cloud Integration Capabilities
SAPinsider coverage of SAP cloud integration capabilities details how SAP Integration Suite and SAP CPI enable organizations to connect applications across on-premise, private and public cloud environments for seamless data flow.
See Latest Related Content Below
Product Data Is Only as Strong as Its Weakest HandoffInriver’s Product Data Maturity Index finds manufacturers are advancing automation, AI, measurement, and other product-data capabilities unevenly. Integration gaps and manual workarounds can still limit how well those improvements work together across the full product-data process.
The Hidden Cost of Fragmented DataA Forrester report reveals that most business investments in AI are lost due to issues with fragmented data, which can lead to stalled projects, compliance risks, and competitive disadvantages, emphasizing the need for a robust architectural solution through a data fabric to ensure high-quality, trusted data for effective AI implementation.
Aug 31, 2026
•3 minute read
SAP Note 3255746: How to Achieve Data Integration Without ODP-RFCSAP Note 3255746 (Version 11, effective April 21, 2026) prohibits ODP-RFC for SAP-to-non-SAP data transfers, requiring companies to adapt their data integration processes by utilizing recommended alternatives such as SAP Business Data Cloud or ODP OData, especially with the upcoming security patch in June 2026 that will block unauthorized ODP-RFC calls.
Aug 31, 2026
•5 minute read
SAP Data in Microsoft Fabric: Medallion Pipeline for Real-Time ReportingThe article discusses how a Medallion Pipeline in Microsoft Fabric can eliminate outdated reporting by enabling real-time data flow and transformation from SAP to Power BI, addressing issues of manual data export and data freshness to facilitate timely and actionable business insights.
Aug 31, 2026
•9 minute read
On-Demand Webinar: Modernize your SAP Data Architecture The webinar discusses five essential capabilities for modernizing SAP data integration, focusing on integration strategies for S/4HANA, cloud and hybrid architectures, real-time data capture, architecture resilience, and performance optimization, to help organizations navigate their SAP transformation initiatives.
Aug 26, 2026
•1 minute read
From Engineer-to-Order to Configure-to-Order: Why 4PACE’s CPQ Thinking Depends on the SAP Core4PACE's July 2026 guidance on moving from engineer-to-order to configure-to-order shows why CPQ strategy and SAP transformation are the same conversation: quotation rules only work when synchronized in real time with SAP master data and pricing.
Jul 24, 2026
•3 minute read
Agentic AI Comes for Legacy Risk Platforms. SAP Data Readiness Will Decide What Happens Next.ServiceNow and Accenture are repositioning legacy risk platforms as an agentic AI target. For SAP teams, the real test is whether risk data is governed, integrated, and traceable enough to let agents act safely.
Jun 30, 2026
•4 minute read
From silos to scale: Grupo Bafar pioneers data-driven food industry performanceGrupo Bafar is using Google Cloud’s Cortex Framework, BigQuery, Looker, and Vertex AI to consolidate siloed SAP, Salesforce, and other data into a centralized lake, improve governance and reporting, and enable AI-driven workflows that boost efficiency across its food business.
May 27, 2026
•3 minute read
Google Cloud and SAP unveil blueprint for the Agentic EnterpriseGoogle Cloud and SAP are expanding their partnership to embed Gemini-powered agentic AI into enterprise workflows through a unified, zero-copy data foundation, enhanced SAP Engagement Cloud tools, and new reliability and sovereign cloud capabilities for faster, more trusted data-driven business outcomes.
May 20, 2026
•2 minute read
Featured Insiders
Events
SAPinsider Summit New Orleans 2026New Orleans, Louisiana, United States
SAPinsider Summit Chicago 2026Chicago, IL
SAPinsider Copenhagen 2026Copenhagen, Denmark
Mastering SAP Collaborate, an SAP TechEd on Tour eventSydney, New South Wales, Australia
