thomas.wieberneit@aheadcrm.co.nz
SAP’s Double Acquisition: How Dremio and Prior Labs Complete a Data Strategy the Competition Can’t Easily Match

SAP’s Double Acquisition: How Dremio and Prior Labs Complete a Data Strategy the Competition Can’t Easily Match

by | May 4, 2026 | Analysis, Blog |

On May 4, 2026, SAP announced two acquisitions in the same breath: Dremio, an Apache Iceberg-native agentic data lakehouse, and Prior Labs, a pioneer of Tabular Foundation Models. Neither acquisition is exotic. Together, they are contributing to the most coherent enterprise AI platform strategy any major vendor has shown this year. Let me unravel what each company actually brings, why the combination matters, what it means for the competitive field, and — most importantly — what buyers and SAP customers should be doing right now. The Problem SAP Is Solving Before diving into the deals, let’s formulate the problem addressed. SAP’s CTO Philipp Herzig said it clearly: “Enterprise AI doesn’t stall because the models aren’t good enough; it stalls because the data isn’t ready for AI agents“. That is not a marketing line. It describes a pattern analysts and practitioners see constantly: AI pilots perform in a sandbox and fail when they hit production. The reasons are familiar: data is locked in proprietary formats across a dozen systems, there’s no consistent business context, ETL pipelines take months to build, and governance gaps make audit-ready AI decisions nearly impossible. SAP has also faced an additional problem. The narrative about SAP is and always was that it works brilliantly if everything lives inside SAP and required considerable engineering if you want to connect it to anything else. In an enterprise world where the average organization uses dozens of SaaS applications, that story is a liability. Both acquisitions address these problems directly from different angles. Acquisition One: Dremio and the Data Layer Dremio is an open-data lakehouse built on Apache​ Iceberg. That...