SAP Adds Dremio Lakehouse and Reltio to Business Data Cloud for AI Agents

An open lakehouse built on Dremio

SAP said the announcements, made at SAP TechEd Berlin, address a familiar problem: enterprise data is spread across databases, warehouses and data lakes, and making it accessible often means duplicating copies, which raises costs and makes consistent business context harder to maintain. With the completed acquisition of Dremio, SAP is strengthening the open lakehouse foundation in SAP BDC.

SAP BDC now supports native Apache Iceberg and a universal catalog powered by Apache Polaris. Together with SAP BDC Connect, this supports zero-copy data sharing with partners including Databricks, Snowflake, Google, AWS and Microsoft, according to SAP.

Dremio's SQL query engine lets users federate access across lakehouses and relational databases such as SQL Server, MongoDB, Oracle and Postgres without moving data. Through integration with Joule Work, business users can ask complex questions in natural language and receive answers grounded in SAP and custom data products, without needing to know where the data resides.

For developers, SAP points to Dremio's Reflection technology. It learns how data is used and automatically precomputes and optimizes the results workloads need, which SAP says reduces work such as building summary tables, updating materialized views or creating separate BI extracts. SAP claims sub-second performance at scale for analyst queries and high-concurrency agentic workloads.

Databricks partnership and SAP Reltio

SAP also announced an expanded partnership with Databricks. Lakeflow, Agent Bricks, Unity Gateway and Lakebase are coming to SAP Databricks in SAP BDC. SAP Application Data Foundation makes data from SAP applications available to the SAP BDC engine of choice, including SAP Databricks, which SAP says can lower total cost of ownership and reduce time to value. SAP data products can then be shared through SAP BDC Connect without extra pipelines, copies or silos.

SAP gave the example of a manufacturer using historical sales, inventory and supply chain data to build demand forecasting models. Data professionals could enrich the data with third-party sources and create custom data products in SAP Databricks.

Following the completed acquisition of Reltio, SAP Reltio is now generally available in SAP BDC, bringing multi-domain master data management into the business data fabric. Its AI-based entity resolution matches and reconciles records across SAP and third-party systems to build unified, 360-degree views of customers, suppliers, products and other entities. These profiles can be offered as governed data products to Joule and Joule agents.

Ontology Manager narrows context for agents

SAP Knowledge Graph connects thousands of entities, relationships and rules across the enterprise. Because agents need the context most relevant to their task rather than the full model, SAP introduced SAP Business Data Cloud Ontology Manager, an AI-assisted experience for creating domain-specific views of the graph for applications, agents or defined business scenarios.

SAP's example is a collections agent, which needs to understand customers, invoices, payment terms and credit risk. Teams can create and publish a domain view for that scenario. Since views inherit definitions and governance from SAP Knowledge Graph, the same semantics can be reused for related cases such as cash flow or order management without redefining concepts.

What it means for customers

The package targets two needs SAP highlights: access to distributed data without copying it, and consistent, governed business context for AI agents. Ganesh Sivakumar, Global Chief Data Analytics & AI Officer at Mead Johnson Nutrition, said in SAP's article that the company is building "an enterprise foundation that unifies, governs, and is ready for innovation." The source does not give pricing or rollout details beyond the general availability of SAP Reltio in SAP BDC.