SAP Acquires Dremio to Bolster Enterprise AI Data Platform
SAP acquired Dremio, a Santa Clara, California-based data lakehouse and analytics platform, this week to strengthen its enterprise AI data infrastructure capabilities, according to Yahoo Finance.
The acquisition positions SAP to offer more tightly integrated AI-ready data services to its large enterprise customer base, as the German software giant seeks to compete more directly with Databricks, Snowflake and Microsoft Fabric in the enterprise AI data market.
Dremio, founded in 2015, has built a data lakehouse platform that enables enterprises to run analytics and AI workloads directly on open data lake storage without the need to move or copy data. The company has raised approximately $400 million in venture funding, according to publicly available funding records. Specific terms of the acquisition were not disclosed.
The acquisition is the latest in a wave of enterprise AI infrastructure deals as major software vendors race to position themselves as end-to-end platforms for corporate AI adoption. SAP’s existing enterprise resource planning dominance gives it deep access to corporate data — the raw material that increasingly powers AI applications — but the company has faced pressure to modernize its data and analytics stack.
Dremio’s technology, built on Apache Arrow and Apache Iceberg open-source standards, has been adopted by U.S. enterprises seeking to unify their data architectures. The acquisition gives SAP a purpose-built analytics engine that could accelerate its AI strategy across its installed base of more than 400,000 customers worldwide.
The deal has implications for the U.S. enterprise AI market, where Dremio has maintained its headquarters and a substantial portion of its customer base. It also intensifies competition among enterprise software incumbents — including Microsoft, Google and Oracle — to control the data layer that underpins generative AI and machine learning deployments.
For SAP’s North American go-to-market strategy, the Dremio acquisition signals a commitment to building a more competitive AI data platform that can go head-to-head with cloud-native rivals that have gained traction with U.S. enterprises in recent years.
