On May 4, 2026, SAP SE announced a transformative agreement to get Dremio, a pioneer in high-performance data lakehouse technology. This SAP Dremio acquisition 2026 is part of a massive strategic expansion—coinciding with the buy of AI lab Prior Labs—to cut data fragmentation and provide a unified, open foundation for the next generation of autonomous AI agents.
Unifying the SAP Business Data Cloud Lakehouse
The integration of Dremio into the SAP Business Data Cloud lakehouse represents a shift from proprietary data silos to a "zero data copy" philosophy. Traditionally, combining SAP application data with non-SAP sources required slow, expensive ETL pipelines. Dremio’s lightning-fast query federation allows organizations to query data exactly where it lives, whether in a cloud lake, a third-party SaaS app, or a legacy database.
For enterprise users, this translates to:
- Instant Context: AI agents like SAP Joule can now reason across the entire data estate in real-time.
- Predictive Power: By leveraging Prior Labs’ tabular foundation models (TFMs), the platform can accurately predict business outcomes directly from structured tables.
- Reduced Complexity: Sub-second query performance is achieved without the need to maintain duplicate data copies.
The Rise of the Apache Iceberg-Native Enterprise Lakehouse
A critical component of this deal is Dremio’s architecture as an Apache Iceberg-native enterprise lakehouse. By adopting Iceberg as the universal table format, SAP is removing one of the primary historical barriers to its platform: vendor lock-in.
According to the latest technology news updates, SAP has committed to maintaining Dremio’s open-source DNA. The company will continue to invest in Apache Iceberg, Apache Polaris, and Apache Arrow, ensuring that software development companies can maintain full interoperability with their existing tools and engines while benefiting from SAP’s massive business context.
Driving the Agentic Future
The acquisition is specifically designed for the "Agentic Era," where AI agents operate autonomously to answer questions and execute workflows. Philipp Herzig, CTO of SAP, noted that AI projects often stall because data isn't "agent-ready." Dremio’s AI-centric CLI and unified knowledge graph provide the structured context these agents need to move from raw data to governed action.
With the deal expected to close by Q3 2026, SAP is positioning its Business Data Cloud as the definitive platform for companies that want their AI to not just "think," but to act with precision across a globally distributed data landscape.
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