SAP to Acquire Dremio to Unify Enterprise Data for Agentic AI

SAP Acquisition of Dremio

SAP has announced its intention to acquire Dremio, a move designed to unify SAP and non-SAP data to power "agentic AI" at an enterprise scale,. The acquisition integrates Dremio's lakehouse platform into the SAP Business Data Cloud,.

According to company announcements, the integration will transform SAP Business Data Cloud into an Apache Iceberg-native enterprise lakehouse,. Apache Iceberg is described as the industry-standard open table format, and it will serve as the foundation for the SAP Business Data Cloud,.

Technical Integration and Data Management

SAP stated that the use of the Apache Iceberg-native foundation means that no data movement or format conversion will be required. This architecture allows SAP and non-SAP data to coexist on the same open foundation.

This setup provides federated analytical reach across all enterprise data sources. These capabilities are combined with the in-memory engine of SAP HANA Cloud to maintain operational performance and real-time transactions.

Economic and Operational Impact

SAP noted that the Dremio lakehouse platform is intended to improve the economics of enterprise analytics. The platform is serverless and elastic, which allows it to scale up automatically during demand spikes and scale back down when demand subsides.

Because of this elasticity, SAP stated there will be no fixed capacity to provision and no performance ceiling during critical periods.

Broader AI Strategy

This acquisition coincides with other AI-focused moves by the company. SAP also announced the acquisition of Prior Labs to establish a frontier AI lab in Europe,.

Through the acquisition of Prior Labs, SAP intends to deliver Tabular Foundation Models (TFMs) with predictive capabilities that understand tables natively. These models are designed to power agentic AI systems capable of reasoning by combining language, images, and tables to infer causality and adapt dynamically. SAP plans to turn this research into enterprise-ready innovation to help customers extract more value from tabular business data.