SAP to Acquire Dremio to Enable Data for Powering Agentic AI

Why It Matters

By integrating Dremio, SAP accelerates AI‑ready data pipelines, giving enterprises a cost‑effective, real‑time foundation for agentic AI. This strengthens SAP’s competitive edge in the cloud data‑management market.

Key Takeaways

• SAP adds Dremio’s lakehouse to Business Data Cloud.
• Apache Iceberg becomes native format, eliminating data movement.
• Serverless, elastic architecture cuts analytics costs and scaling limits.
• Unified catalog powers SAP Knowledge Graph with lineage and semantics.
• Deal closes Q3 2026, pending regulatory approval.

Pulse Analysis

Enterprise AI initiatives often stall not because models lack sophistication, but because data is fragmented and unprepared. SAP’s acquisition of Dremio directly addresses this choke point, extending the Business Data Cloud’s reach beyond native SAP sources. By embedding an open‑source lakehouse that natively supports Apache Iceberg, SAP eliminates costly ETL pipelines, enabling seamless, governed access to both SAP and third‑party data. This move aligns with a broader industry shift toward open, cloud‑native data fabrics that prioritize agility and cost efficiency.

Dremio’s platform brings a serverless, elastic compute model that automatically scales with workload demand, removing the need for fixed capacity planning. The integration with SAP HANA Cloud’s in‑memory engine adds real‑time transactional performance, while the unified catalog—built on Apache Polaris and Iceberg’s REST API—serves as a semantic layer for discovery, lineage, and access control. These capabilities lay the groundwork for SAP’s Knowledge Graph, embedding business relationships and regulatory context directly into data queries, which is critical for compliance‑heavy sectors such as finance and healthcare.

The strategic purchase positions SAP to compete more aggressively with rivals like Snowflake, Databricks, and Google Cloud, all of which offer open lakehouse solutions. As AI agents become more autonomous, the demand for instantly queryable, AI‑ready data will surge. SAP’s enhanced data stack promises faster time‑to‑value for AI projects, potentially expanding its cloud revenue share and reinforcing its role as a central hub for enterprise data integration. The pending Q3 2026 close will be a key milestone for SAP’s roadmap toward a unified, AI‑driven data ecosystem.

Deal Summary

SAP announced it will acquire Dremio, an open data lakehouse platform, to enhance its Business Data Cloud and accelerate agentic AI workloads. The terms were undisclosed, and the deal awaits regulatory approval, with closing expected in Q3 2026.