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Companies are striving to simplify their data landscapes and preserve the business-critical context of their data. This goes hand in hand with the goal of providing data in a way that can be understood, analyzed, and used by both human users and AI agents. In the SAP ecosystem, SAP Business Data Cloud (BDC) is the strategic solution for managing and unifying the data landscape. Part of the SAP BDC concept is to create an open data environment that promotes the easy integration of third-party data and solutions. SAP is further expanding this approach with its partnership with Snowflake.
Make SAP BDC the central hub for your business data
Snowflake as a solution extension for SAP BDC
SAP Snowflake makes Snowflake’s AI Data Cloud available as a solution extension for SAP Business Data Cloud. The offering combines SAP’s comprehensive expertise in business-critical processes and semantically rich data with Snowflake’s powerful platform capabilities in data processing, data engineering, and AI. This makes it possible to share data and exchange it seamlessly between the two platforms without having to copy the data (zero copy sharing).
Companies that already use Snowflake’s AI Data Cloud can integrate their existing Snowflake instances into SAP BDC via SAP BDC Connect for Snowflake. They benefit from secure, real-time access to trusted SAP data products – in line with applicable data governance guidelines.
The advantages of SAP Snowflake
SAP Snowflake enables organizations to gain deeper insights into their data, develop intelligent enterprise applications, and accelerate the creation of AI and machine learning solutions. By combining data from SAP Snowflake with the advanced modeling capabilities of SAP Business Data Cloud, IT and business users can bring all their data together and enrich it to create a unified view that is easy to understand for both users and AI agents.
In addition, it is now much easier than before to harmonize and manage business-critical data, regardless of where it is stored. This enables the creation of a reliable, AI-enabled database. Furthermore, the integration of SAP Snowflake into SAP BDC offers companies greater openness and more flexible options for designing their data architecture. This freedom contributes to the business data fabric approach, which not only simplifies complex data landscapes and provides meaningful data to all data users, but also preserves the business logic and application context of the data.
Conclusion: SAP and Snowflake combine their strengths
SAP Snowflake promotes the harmonization of SAP and non-SAP data and creates close integration between the two providers’ data platforms. Companies can implement AI scenarios based on semantically rich data and develop intelligent applications that access business-critical information. SAP Snowflake is expected to be available in the first quarter of 2026, while general availability of SAP BDC Connect for Snowflake is announced for the first half of 2026.
