A Technical Integration for Simplified SAP Data Access

Databricks and SAP are expanding their partnership by integrating advanced Databricks features (Genie, Lakeflow, Unity Gateway, and Lakebase) directly into SAP Databricks, a solution hosted within SAP Business Data Cloud (SAP BDC). This evolution allows users to access SAP data, whether cloud-hosted or on-premises, without requiring duplication (zero-copy). According to Databricks’ blog, this approach eliminates the need for custom extraction pipelines and reduces the risk of creating data silos.

Companies can now leverage the full Databricks Data + AI platform on their SAP data while preserving business context. For example, companies like Adidas, Zalando, or Mondi have already used SAP Databricks and SAP BDC Connect to analyze SAP data in real time and build AI models directly on these datasets, thanks to a technology called OpenSharing.

By combining SAP’s industry expertise with Databricks’ advanced capabilities, this integration lays the foundation for a more accessible and secure AI transformation for businesses.

Key Tools for Governing and Securing Data and Models

The integration includes tools like Unity Catalog and Unity Gateway, which enable managing data, models, and agents (conversational or automated) for both SAP and non-SAP data. This centralized governance ensures enhanced traceability and security, a critical concern for large organizations. According to Databricks, this approach prevents data engineers from losing the business context of SAP data while simplifying its use in AI environments.

Additionally, SAP Application Data Foundation provides a cloud-native method to access SAP application data, reducing total cost of ownership (TCO) and the time needed to derive business value. SAP data can be shared via SAP BDC Connect for zero-copy access, optimizing workflows.

Massive adoption by global companies and its implications for Africa

Over 90% of Fortune 500 companies use SAP solutions to manage their critical business processes, according to Databricks. This widespread adoption highlights the importance of this integration for large organizations, including those in West Africa where SAP is widely deployed in both public and private sectors. For Beninese or regional companies using SAP (such as in finance, logistics, or public administration), this development could facilitate access to advanced AI tools without requiring costly data migration.

For example, a Beninese public administration using SAP for human resources or financial management could leverage these new capabilities to automate predictive analytics (such as fraud detection or budget optimization) directly from its SAP data, without manually extracting it.

What this changes here: opportunities for local businesses and administrations

For businesses and administrations in Benin and West Africa using SAP, this collaboration could simplify access to AI tools by avoiding the costs and complexities associated with data extraction and duplication. For example, a telecommunications company using SAP for customer management could integrate AI models to predict purchasing behavior or detect anomalies in its operational data, all without leaving the SAP ecosystem.

Public administrations, often reliant on SAP for systems like customs or healthcare, could also benefit from enhanced data governance. The integration of Unity Catalog would allow securing these sensitive data while making them accessible to analytical or AI teams, provided local adoption of the tools by technical teams.

Finally, this advancement could reduce reliance on custom solutions for SAP data analysis, a major advantage for SMEs and public institutions with limited budgets. However, its effective deployment will depend on the availability of these tools in the region and the training of local teams.