WALLDORF, Germany and AUSTIN, Texas. — May 4, 2026 — SAP SE (NYSE: SAP) and Dremio Inc. today announced that SAP intends to acquire Dremio. With the planned acquisition, SAP is specifically strengthening the SAP Business Data Cloud and creating the basis for seamlessly integrating SAP and non-SAP data in order to make agentic AI usable faster and more effectively in companies. Dremio's open and powerful data platform expands SAP's ability to run analytical and AI workloads in real time and across system boundaries on a consistent, business-relevant database. The financial details of the transaction were not published. The completion of the takeover is subject to official approvals.
Many enterprise AI initiatives are falling short of expectations, not because of the technology itself, but because the underlying data is fragmented, in proprietary formats, and lacks the business context that makes AI effective. The result is a familiar and costly pattern: pilot projects cannot be scaled, new data sources are slow to integrate, and duplication of technical effort and compliance risks increase, especially where AI decisions are not understandable. Dremio starts right here. The platform helps eliminate data fragmentation and reduce integration hurdles. The proposed acquisition complements the SAP Business Data Cloud and SAP HANA Cloud offerings and enables seamless, powerful and cost-effective integration of SAP and non-SAP data. SAP thus creates the basis for providing business-relevant context for AI and significantly accelerating the time to value for analytical and AI applications.
“Enterprise AI fails not because of the models, but because of the data,” said Philipp Herzig, CTO, SAP SE. “As long as business data remains fragmented and without context, AI agents cannot realize their potential. Dremio eliminates exactly this bottleneck. In combination with SAP Business Data Cloud, we enable our customers to unify across systems and transform them into trustworthy, AI-enabled decision-making bases on an open platform.”
With the planned acquisition of Dremio, SAP is further developing the SAP Business Data Cloud into an Apache Iceberg-native enterprise lakehouse. This allows SAP and non-SAP data to be brought together on a common, open basis to make agentic AI usable at enterprise scale. Apache Iceberg has established itself as an industry-wide open standard for large amounts of data. SAP Business Data Cloud will natively support this open table format in the future.
For businesses, this means no data movement or format conversions are required to make data usable for analytics and AI. SAP and non-SAP data can coexist on the same open architecture and be evaluated across all data sources across the company. Combined with SAP HANA Cloud's in-memory technology, this enables real-time analytics as well as transactional and operational workloads with high performance, efficiency and consistent business context.
Dremio's Lakehouse platform fundamentally improves the cost-effectiveness of business analysis. It is serverless and elastic and automatically adapts its performance to needs. It scales up when demand is high and scales down again when demand falls. For companies, this means that they can do without fixed capacity planning and can work without performance limits, exactly when it matters most.
With Dremio, SAP will also provide a universal, open data catalog based on Apache Polaris and the open Apache Iceberg REST Catalog API. This catalog acts as a central access and semantic layer within the SAP Business Data Cloud and offers all connected systems – SAP and non-SAP – common access to a consistent context. This includes business context, relationships, access rights and data lineage. The open catalog also forms the basis for the SAP Knowledge Graph. It anchors business contexts, organizational hierarchies, regulatory classifications, and cross-system data lineage as native properties, creating the prerequisites for scalable, explainable, and trustworthy agentic AI.
Dremio has been a leading contributor to key open source projects such as Apache Iceberg, Apache Polaris and Apache Arrow for years. SAP intends to continue to specifically promote and expand these open source contributions in the future.
The transaction is expected to close in the third quarter of 2026 and is subject to customary closing conditions, including required regulatory approvals.
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About Dremio
Dremio is the Agentic Lakehouse: a data platform developed specifically for AI agents, based entirely on the open Iceberg standard and itself driven by AI. It gives knowledge workers and AI agents instant, controlled access to company data, regardless of which language model or tool is used. Federated queries allow data sources to be used across systems without the need for complex ETL pipelines or data copies. An integrated AI-powered semantics layer provides the necessary business context and ensures that all agents work on a common, reliable database. The lakehouse largely manages itself. Tasks such as clustering, optimization and data consolidation are carried out autonomously. The result is trustworthy insights that enable better business decisions without the complexity and infrastructural overhead of classic data platforms.
Dremio is lead author of Apache Iceberg and co-founder of Apache Arrow and Apache Polaris. Dremio is trusted by Shell, TD Bank, Michelin and thousands of organizations worldwide.
About SAP
As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the intersection of business and technology. For over 50 years, companies have trusted SAP to make the most of unifying business-critical operations across finance, procurement, human resources, supply chain and customer experience. For more information visit www.sap.com.
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