Snowflake (SNOW) Status update summary

Integration of SAP and Snowflake for AI-Driven Analytics

• SAP and Snowflake have launched a zero-copy, bidirectional integration, enabling seamless data sharing without replication, allowing enterprises to access SAP data in Snowflake instantly for analytics and AI workloads.

• The integration provides governed, semantically rich SAP data products, preserving business context and enabling trusted analytics and AI outcomes by leveraging SAP Business Data Cloud (BDC) and Snowflake’s semantic views.

• Customers can blend SAP data with other enterprise data in Snowflake, creating a unified semantic layer and a single source of truth for business users and AI agents.

• The process eliminates traditional data pipeline complexity, reduces engineering overhead, and accelerates time-to-value by making business-ready data available on demand.

• The integration supports both directions: SAP BDC to Snowflake and Snowflake to SAP BDC, with catalog-linked databases and externally managed Iceberg tables facilitating secure, governed, and performant data access.

Technical Implementation and Business Impact

• Data products from SAP BDC are shared as catalog-linked databases in Snowflake, with semantic views automatically created from SAP’s Core Schema Notation, capturing facts, dimensions, KPIs, and relationships.

• No data is replicated; queries are executed on demand, fetching data directly from SAP BDC, ensuring data freshness and reducing storage costs.

• Business analysts can use Snowflake Intelligence and Cortex Analyst to interact with SAP data in natural language, enabling rapid insights and visualizations without manual data movement or transformation.

• The unified foundation allows organizations to focus on deriving value from data, supporting advanced analytics, AI, and operational workflows, while maintaining robust governance and security.

• The model is designed for scalability, flexibility, and future-proofing, aligning architecture to business use cases and accelerating AI transformation across the enterprise.

Key Differentiators and Customer Value

• The partnership eliminates the need for manual reconstruction of business meaning, providing instant access to semantically rich, governed SAP data products in Snowflake.

• Customers benefit from a single, trusted view of enterprise data, enabling consistent analytics and AI outcomes across business units.

• Zero-copy architecture reduces infrastructure costs and complexity, while semantic integration ensures data quality, trust, and compliance.

• The solution is already being adopted by leading enterprises, demonstrating accelerated time-to-value and improved business outcomes.

• The approach shifts focus from data movement to activating data for analytics and AI, empowering organizations to innovate and make better decisions faster.