As enterprises grow increasingly digital, their data landscapes expand across diverse systems, platforms, and environments. From on-premise ERP systems to cloud-native applications and IoT streams, data has become more distributed and complex than ever. To turn this fragmented data into strategic value, organizations must adopt a hybrid data architecture — one that integrates, orchestrates, and governs data across heterogeneous sources.
SAP Data Hub, a central component of the SAP Data Management Suite, plays a critical role in enabling this hybrid architecture. It provides a unified platform for connecting, discovering, enriching, and orchestrating data across a complex IT ecosystem.
SAP Data Hub is an enterprise-grade data orchestration and governance solution designed to manage the flow of data across disparate systems — whether on-premise, in the cloud, or at the edge. It allows businesses to build and run complex data pipelines, integrate various data sources, and ensure data quality and lineage throughout the data lifecycle.
Note: SAP Data Hub has evolved and is now largely integrated into SAP Data Intelligence, but many organizations still reference it by its original name when discussing hybrid architectures.
Modern enterprises operate in environments that combine:
A hybrid data architecture allows data to be:
SAP Data Hub addresses these needs by acting as a bridge across different technologies and infrastructures.
SAP Data Hub connects to various structured and unstructured data sources including:
This allows organizations to create an integrated data fabric without replicating all data into a single repository.
Data Hub enables users to design and automate end-to-end data pipelines using a visual graph-based interface. These pipelines can:
It offers powerful metadata management, providing visibility into:
This capability is essential for regulatory compliance, data governance, and ensuring trust in data.
Built on Kubernetes and Docker, SAP Data Hub is scalable and cloud-agnostic, making it ideal for hybrid and multi-cloud deployments.
A global retail company uses SAP Data Hub to combine data from SAP S/4HANA, Hadoop, and AWS S3 into a centralized data lake. This unified view supports advanced analytics and inventory optimization.
A manufacturing firm collects sensor data from factory equipment and processes it using SAP Data Hub. Real-time anomaly detection triggers alerts and predictive maintenance actions.
A finance company gradually migrates its data warehouse to the cloud. SAP Data Hub supports hybrid operations during the transition, ensuring continuous data availability and quality.
When integrated with SAP Analytics Cloud (SAC) or SAP AI Core, SAP Data Hub can serve as the backbone for analytics and AI. It ensures that high-quality, trusted data is available for real-time dashboards and predictive models, bridging the gap between raw data and actionable insights.
SAP Data Hub (now part of SAP Data Intelligence) is a cornerstone for building and managing hybrid data architectures. It enables organizations to unify their scattered data assets into a cohesive, governed, and analytics-ready environment. In today’s multi-source, multi-platform reality, leveraging SAP Data Hub is not just a technical advantage — it’s a strategic necessity.
By embracing hybrid data orchestration through SAP Data Hub, businesses can unlock their full data potential, drive agility, and accelerate digital transformation.