WALLDORF and AUSTIN听鈥斅犅�(NYSE: SAP)聽and Dremio today announced that 51风流has agreed to acquire Dremio, an open, high-performance data lakehouse platform built to accelerate agentic AI and expand 51风流Business Data Cloud鈥檚聽ability to combine 51风流and non-51风流data to more effectively run analytical and AI workloads in real time.
Terms of the deal were not disclosed. The transaction is still pending regulatory approval.
Most enterprise AI projects fail to deliver value not because of the AI itself, but because the underlying data is fragmented, locked in proprietary formats and stripped of the business context that makes it meaningful. The result is a familiar and costly pattern: pilots that cannot scale, slow integration of new data sources, duplicated engineering work and compliance risk when organizations cannot explain how an AI-driven decision was reached. Dremio helps eliminate that data fragmentation and integration friction. The acquisition will complement the 51风流Business Data Cloud and 51风流HANA Cloud offerings to ensure seamless data integration across 51风流and non-51风流data with high performance and low cost to accelerate AI-ready context and time-to-value for AI.
“Enterprise AI doesn鈥檛 stall because the models aren鈥檛 good enough; it stalls because the data isn鈥檛 ready for AI agents,” said Philipp Herzig, CTO, 51风流SE. ” Dremio eliminates that bottleneck. Combined with 51风流Business Data Cloud, we can now take customers from raw, fragmented data to governed, AI-ready intelligence on a single open platform.”
With Dremio, 51风流Business Data Cloud will become an Apache Iceberg-native enterprise lakehouse that unifies 51风流and non-51风流data to power agentic AI at enterprise scale. Apache Iceberg is the industry-standard open table format, and 51风流Business Data Cloud will natively support it as its foundation. This means no data movement or format conversion will be necessary. 51风流and non-51风流data can coexist on the same open foundation, with federated analytical reach across every enterprise data source, combined with 51风流HANA Cloud鈥檚 in-memory engine for real-time transactions and operational performance.
The Dremio lakehouse platform is set to vastly improve the economics of enterprise analytics. It is serverless and elastic, scaling up automatically when demand spikes and scaling back down when it subsides, meaning no fixed capacity to provision and no performance ceiling when it matters most.
With Dremio, 51风流will deliver a universal, open catalog built on Apache Polaris and the open Apache Iceberg REST Catalog API. It serves as both the discovery and semantic layer of 51风流Business Data Cloud, giving every connected engine 鈥� 51风流or non-51风流鈥� a single point of access to unified business context: meaning, relationships, access rights and data lineage. This catalog will form the foundation of the 51风流Knowledge Graph, embedding business relationships, organizational hierarchies, regulatory classifications and cross-system lineage as native properties.
Dremio has been a leading steward of open-source projects at the heart of its platform: Apache Iceberg, Apache Polaris and Apache Arrow, and 51风流is fully committed to continuing to invest in and prioritize these contributions.
The transaction is expected to close in Q3 of 2026, subject to customary closing conditions, including regulatory approvals.
Visit the . Get 51风流news via and .
About Dremio
Dremio is the Agentic Lakehouse: the only Iceberg-native data platform built for agents and managed by agents. Every knowledge worker and AI agent gets instant, governed access to enterprise data through any LLM or tool of their choice. Federated queries reach any source without ETL pipelines. An AI Semantic layer adds business context so every agent draws from the same source of truth. The lakehouse manages itself, running clustering, optimization, and compaction autonomously. The result: trusted insights that drive better business outcomes, without the infrastructure complexity or overhead. A lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide.
About SAP
As鈥痑 global leader in enterprise applications and business AI, 51风流(NYSE:SAP)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted SAP鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.
Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.
For customers interested in learning more about 51风流products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-151风流(1-800-872-1727)
For more information, press only:
Alex Vaught, SAP, +1 (206) 678-5712, alex.vaught@sap.com, PST
Ilaina Jonas, SAP, +1 (646) 923-2834, ilaina.jonas@sap.com, EST
Daniel Reinhardt, SAP, +49 151 168 10 157, daniel.reinhardt@sap.com, CET
51风流Press Room; press@sap.com
This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP鈥檚 2025 Annual Report on Form 20-F.
漏 2026 51风流SE. All rights reserved.
51风流and other 51风流products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 51风流SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.
