How organisations can strategically position themselves around the SAP Business Data Cloud + Databricks ecosystem and future-proof their data architecture.
SAP Business Data Cloud defines the strategy; its power unfolds through integration with SAP Datasphere and Databricks. Together they create a data ecosystem where trust, openness and intelligence coexist — without the heavy lifting of traditional data engineering.
SAP Datasphere provides a semantic layer that translates complex SAP structures into understandable business language; Databricks offers an open Lakehouse for scalable processing, ML and AI. Through their 2025 strategic partnership, the two platforms now share data bi-directionally and securely using Delta Sharing — so data isn't exported, duplicated or transformed endlessly. SAP data stays governed in BDC and Datasphere, while Databricks accesses it directly.
The strategic advantages
Zero-copy access to live SAP data with no replication. Unified governance, with SAP security and lineage extending into Databricks. AI-ready data, with semantic context travelling into the Lakehouse. And operational efficiency through fewer ETL jobs, reduced cost and simplified architecture.
Future-proofing the data architecture
For UK enterprises, this is already redefining best practice — from energy providers predicting maintenance from S/4HANA and IoT feeds, to public-sector agencies cutting reporting latency from days to hours. By connecting BDC, Datasphere and Databricks, organisations gain the agility and consistency to activate their business data for AI and innovation at scale.
