SAP acquires Dremio to unify data for agentic enterprise AI

SAP’s twin acquisitions are a bet that the bottleneck in enterprise AI is no longer the model, but the data substrate underneath it. Dremio’s open lakehouse architecture and Apache Iceberg focus give SAP a credible answer to Databricks and Snowflake in environments where customers want to keep data in open formats while still powering high‑performance analytics and agentic workflows. Prior Labs adds tabular‑AI know‑how in the exact domain – structured business data – where many generative projects still struggle.([prnewswire.com](https://www.prnewswire.com/news-releases/sap-to-acquire-dremio-to-unify-sap-and-non-sap-data-to-power-agentic-ai-302761280.html))

Strategically, this shifts SAP from being primarily an application vendor with some AI features into a more full‑stack AI data platform for its installed base. For the AGI race, it illustrates a broader pattern: hyperscalers and SaaS giants are racing to own the ‘AI operating layer’ that sits above raw storage and below frontier models. Whoever controls that layer can route workloads across multiple models, enforce governance, and capture most of the value from agentic automation – even if they don’t train the most capable frontier models themselves.