A New Phase in Enterprise Data Sharing
SAP and Amazon Web Services (AWS) are deepening their long-standing partnership with SAP Business Data Cloud (SAP BDC) Connect for Amazon Athena, a bi-directional zero-copy data integration capability announced at SAP Sapphire in Orlando. This move targets one of the biggest bottlenecks in enterprise analytics: slow, costly data replication between operational and analytical systems. Instead of copying data across platforms, SAP BDC Connect allows enterprises to keep mission-critical SAP data products in place while exposing them directly to Amazon Athena for query and analysis. This foundation supports broader AWS services such as Amazon Bedrock, Amazon Quick, and Amazon SageMaker, enabling teams to deliver self-service analytics and AI agents without waiting for IT-led extraction and provisioning cycles. The result is a more agile, governed environment for enterprise data sharing that aligns with the vision of an autonomous, AI-ready business.
Zero-Copy Architecture and Bi-Directional Data Sync
At the heart of SAP BDC Connect is a zero-copy architecture that eliminates the need to duplicate data between SAP Business Data Cloud and Amazon Athena. Enterprises gain bi-directional data sync without physically moving datasets, preserving the original business context and semantic richness of SAP data products. This approach minimizes replication delays and infrastructure overhead, as there is no requirement to maintain parallel pipelines or redundant storage just for analytics. Teams can query SAP data in near real time through Amazon Athena, or decide to store and transform it for broader use across AWS. Because data remains governed in its original environment, organizations can enforce consistent policies while still enabling cross-platform access. This combination of zero-copy data integration and bi-directional data sharing reinforces trust, reduces complexity, and provides a single, trusted foundation for both SAP and non-SAP business data.
Real-Time Analytics with Amazon Athena Integration
The Amazon Athena integration is central to how SAP Business Data Cloud Connect transforms enterprise analytics. By enabling direct, zero-copy access from Athena to SAP data products, organizations can run ad hoc queries, dashboards, and reports on live business data instead of relying on nightly or weekly extracts. This significantly reduces time-to-insight, shifting analytics cycles from weeks to hours. Analysts and business users gain a self-service experience: they can explore governed SAP datasets via Athena, then extend results into Amazon Quick for visualization or feed them into Amazon SageMaker for advanced modeling. Because data is accessed where it lives, latency is reduced and infrastructure becomes simpler—analytics workloads no longer require complex ETL pipelines or duplicated warehouses. This streamlined Amazon Athena integration helps enterprises standardize on a modern, cloud-native query layer while retaining the robustness and semantic integrity of SAP Business Data Cloud.
Fueling Next-Generation AI and Autonomous Enterprises
SAP and AWS position zero-copy data integration as a catalyst for next-generation AI workloads and the broader shift toward autonomous enterprises. With SAP Business Data Cloud Connect, AI agents and intelligent applications can tap directly into mission-critical SAP data without waiting for preparation cycles. Services like Amazon Bedrock and Amazon SageMaker can train and operate on business-ready datasets, accelerating the deployment of AI use cases across finance, supply chain, HR, and customer operations. According to SAP leadership, the value lies in turning intelligence into action at scale—making it easier to operationalize insights generated from AI and analytics. A consistent, governed data layer also reduces risks associated with fragmented data copies and inconsistent definitions. As SAP BDC is already available on multiple AWS regions and the AWS European Sovereign Cloud, enterprises can adopt this model globally, aligning analytics, AI, and governance under a unified data strategy.