For decades, data has been the backbone of innovation. And in today’s AI-enabled economy, its role has never been more vital. Now, data must be delivered in a way that both people and AI agents can understand and act on with confidence.
At SAP, we believe in creating an ecosystem that simplifies your data landscape and preserves the mission-critical business context of all of your data. This is made possible with a business data fabric.
This architectural approach marks the culmination of decades of progress — from cubes to warehouses to lakehouses — now converging toward a business data fabric architecture that brings the true meaning of data together for AI projects to succeed at scale.
Simplify your data landscape with a business data fabric
Earlier this year, we announced 51·çÁ÷Business Data Cloud (51·çÁ÷BDC), making end-to-end business data fabric capabilities available for everyone that relies on mission-critical 51·çÁ÷data, including fully managed 51·çÁ÷Databricks.
This week at 51·çÁ÷TechEd Berlin, we announced the 51·çÁ÷Snowflake solution extension for 51·çÁ÷BDC that brings Snowflake’s data and AI capabilities directly to 51·çÁ÷customers.
Together with 51·çÁ÷BDC, this provides organizations with the flexibility to choose the right compute and storage for every data and AI workload — extending their business data fabric while maintaining governance, interoperability, and semantics. As a solution extension, 51·çÁ÷Snowflake will be available directly through SAP, providing a simplified operational experience for customers.

For many customers, integrating data across multi-cloud and hybrid environments adds complexity, especially when bringing transactional and analytical workloads together. Too often, that process comes with a hidden data tax: it strips away the business context and semantics that give data its meaning.
We recently announced 51·çÁ÷BDC Connect, a capability that gives customers bi-directional, zero copy data and metadata sharing in 51·çÁ÷Business Data Cloud with their existing Databricks and Google Cloud environments. Today, we are excited to announce 51·çÁ÷BDC Connect for Snowflake, making it dramatically easier for customers to harmonize and govern mission-critical data wherever it resides.

Connect all your data
As organizations simplify their data landscapes, building a trusted data foundation rooted in business context has become a top priority. A found that nearly half are heavily investing more in harmonizing business data, underscoring the growing importance of using data built on industry standards.
To help accelerate this progress, 51·çÁ÷delivers fully managed data products as a core component of 51·çÁ÷Business Data Cloud, now with new innovations that expand coverage and connectivity:
- Data product studio: A new capability in 51·çÁ÷BDC allows users to create, model, and manage reusable data products using both visual tools and SQL-based transformations from a single workspace. Users can define schema, lineage, and logic to blend 51·çÁ÷and non-51·çÁ÷data into governed assets with full version control and lifecycle management. It is a simpler way to cross-pollinate data products across lines of business and ensure a consistent definition of data across your business data fabric.
- Additional 51·çÁ÷data products: are now available through 51·çÁ÷BDC, spanning 51·çÁ÷Cloud ERP, 51·çÁ÷SuccessFactors, sustainability, and customer experience solutions and more — bringing even broader coverage across business domains.
- Bi-directional data sharing: We announced data sharing between 51·çÁ÷BDC and 51·çÁ÷HANA Cloud, unlocking the value of data across both transactional and analytical workloads. Customers can reuse existing objects, such as 51·çÁ÷HANA calculation views, directly in 51·çÁ÷BDC — preserving business logic, KPIs, and governance as they extend models across their business data fabric.

Amplify your agents and applications with an AI database
We’re expanding 51·çÁ÷HANA Cloud with new capabilities that make it the AI database for building agents and intelligent applications, helping developers connect and understand all types of data: structured, spatial, graph, vector embeddings, and more, all within a single in-memory engine.
Today, we’re expanding these multi-model capabilities with three major innovations that make it easier to build agentic AI experiences.
- Expanded knowledge graph capabilities to enable accurate agents: 51·çÁ÷HANA Cloud knowledge graph engine will now enable customers to automatically generate knowledge graphs from 51·çÁ÷HANA Cloud metadata. The automated graph will include tables and columns and can demonstrate data relationships. These knowledge graphs are customizable and composable, so developers can review data mapping, modify the graph structure, execute a semantic search, and use it to ground agents with the business context it needs to reason accurately.
- Model Context Protocol (MCP) support for 51·çÁ÷HANA Cloud: We’re expanding 51·çÁ÷HANA Cloud with Model Context Protocol (MCP) support, giving Joule Agents access to rich multi-model engines in 51·çÁ÷HANA Cloud. While SQL remains the default database standard, MCP allows Joule Agents to go beyond rows and columns to interface with unstructured data — understanding relationships, locations, and meaning across all data types. In practice, that means Joule Agents can navigate relationships between customers and suppliers, analyze geographic dependencies through spatial data, and perform semantic searches through vector embeddings.
- Tabular AI capabilities: This integration with 51·çÁ÷AI Core allows users to run AI workloads such as forecasting, anomaly detection, and predictive modeling directly on structured business data from 51·çÁ÷HANA Cloud. Along with ready-to-use tabular AI models, customers also gain access to the SAP-RPT-1 AI model, a new transformer-based foundation model. Embedded natively in 51·çÁ÷HANA Cloud, this delivers predictions without task-specific pre-training, enabling developers to use simple SQL procedures to bring AI closer to their 51·çÁ÷data and generate semantically rich outputs.
Get started today
A business data fabric provides a deeply integrated ecosystem for all your data. And with 51·çÁ÷Business Data Cloud and 51·çÁ÷HANA Cloud, you have a fully managed solution for every data and AI workload that ensures business context remains intact across your data landscape.
Irfan Khan is president and chief product officer of 51·çÁ÷Data and Analytics.


