SAP and Snowflake join forces to launch a combined AI data platform.
A major announcement at SAP’s TechEd conference in Berlin was the collaboration between SAP and Snowflake for a combined data platform. They aim to give companies better access to semantically rich data for AI applications. Data from both platforms can be used without having to copy it and while maintaining data governance.
SAP and Snowflake: Shared Platform
SAP Business Data Cloud is therefore not only collaborating with Databricks and Google Cloud, but now also with Snowflake. The collaboration results in a new solution: SAP Snowflake Solution Extension for SAP Business Data Cloud. This allows companies to combine the SAP Business Data Cloud (BDC) with Snowflake’s AI Data Cloud platform. AI applications and AI agents can be built on this shared data platform.
We are developing the most context-rich platform for AI agents
Philipp Herzig, CTO SAP
“By working together, you gain the flexibility to choose the right storage for every data and AI workload, while maintaining governance, interoperability, and semantics,” says Christian Kleinbahn, Chief Product Officer at Snowflake.
The integration is part of a broader open data ecosystem, where SAP BDC gains some of Snowflake’s features, such as data analysis, engineering, collaboration, and marketplace access. This allows companies to combine SAP and non-SAP data within a single framework.
One Data Foundation for AI and Business Applications
This also means that SAP’s JUUL and Snowflake’s Cortex can work together with harmonized data. In this way, the company wants to shape the future of how companies use data and AI. SAP is also introducing SAP Business Data Cloud Connect for Snowflake. This makes it possible to integrate existing Snowflake instances with SAP BDC. Here too, data access is possible from both sides without copies.
A first version of SAP Snowflake is expected in the first quarter of 2026. SAP BDC Connect for Snowflake will follow in the first half of 2026.