SAP Acquires Dremio, Reltio, and Prior Labs to Create an Agentic AI Platform and Research Center for Structured Data

On May 4, 2026, SAP announced agreements to acquire both Dremio and Prior Labs. Dremio is intended to expand SAP Business Data Cloud into an Apache Iceberg-native lakehouse for SAP and non-SAP data, while Prior Labs gives SAP a frontier AI research team focused on tabular foundation models (TFMs). On May 7, 2026, SAP completed its acquisition of Reltio, adding master data management (MDM) capabilities to unify, cleanse, and harmonize enterprise data for agentic AI.

These acquisitions aren't isolated – they form a deliberate pipeline: Dremio accumulates data from various sources; Reltio cleanses, reconciles and harmonizes it; and Prior Labs provides models to analyze this data. SAP is trying to assemble the core architecture required for enterprise agents to reason over business data and take action with enough context, trust, and predictive accuracy.

Dremio addresses data access and context. It is supposed to make SAP Business Data Cloud an Apache Iceberg-native enterprise lakehouse, allowing SAP and non-SAP data to coexist without data movement or format conversion. SAP also plans to use Dremio’s Apache Polaris and Iceberg REST Catalog-based capabilities as a universal catalog and semantic layer, forming part of the SAP Knowledge Graph.

Reltio addresses data trust. Agentic AI cannot operate responsibly if customer, supplier, product, employee, or location records are duplicated, inconsistent, or poorly governed. Reltio is positioned to make SAP and non-SAP data AI-ready by helping users unify, cleanse, and harmonize data across sources.

Prior Labs addresses model capability. SAP’s thesis is that large language models are not enough for enterprise AI because they struggle with structured business data, tables, numbers, and statistical reasoning. Prior Labs specializes in TFMs, which apply foundation model principles to structured data (tables, spreadsheets, and databases) and use in-context learning, predicting outcomes in seconds by evaluating new rows against your training data. SAP also committed more than €1 billion over four years to scale Prior Labs into a frontier AI lab for structured business data.

Market trend

The market trend is that major enterprise software vendors are no longer treating data management as back-office plumbing. They are making it the foundation of agentic AI.

Salesforce completed its acquisition of Informatica in November 2025 to bring data catalog, integration, governance, quality, privacy, metadata management, and MDM capabilities into Salesforce as a unified data foundation for agentic AI. ServiceNow also acquired data.world in 2025 to add data catalog and data governance capabilities to Workflow Data Fabric for AI agents and real-time workflows.

SAP is following the same logic but with a stronger enterprise operations angle. Salesforce is centering its strategy on CRM and customer data. ServiceNow is centering its strategy on workflows. SAP is centering its strategy on the structured operational data that runs finance, procurement, supply chain, HR, manufacturing, and customer experience.

The Prior Labs news makes SAP’s approach more ambitious than a data-platform consolidation play. SAP is not only trying to govern and connect enterprise data; it is trying to own a specialized AI model category for tabular business data.

Possible impact on existing SAP users

For SAP customers, the potential benefit is a more coherent path from operational data to AI-enabled decision-making. Business Data Cloud already embeds Databricks technology for data engineering, machine learning, and AI workloads, and SAP has positioned it as a way to unlock enterprise data for Business AI. Adding Dremio, Reltio, and Prior Labs could make that platform more useful by improving data quality, data access, business semantics, and structured-data prediction.

The most immediate value will likely appear in use cases where SAP data is already central: working-capital optimization, payment-delay prediction, supplier-risk scoring, customer churn, demand forecasting, quote-to-cash analysis, procurement optimization, and finance exception handling. These are not generic chatbot scenarios. They are structured-data scenarios where tables, relationships, hierarchies, and business rules matter.

However, SAP customers should be ready to clarify the architectural direction. SAP already has Business Data Cloud, HANA Cloud, Datasphere, SAP Databricks, SAP MDG, Joule, SAP AI Core, and now Reltio, Dremio, and Prior Labs. Customers need clarity on product overlap, migration paths, licensing, integration sequencing, and where the authoritative catalog, semantic layer, master data layer, and AI governance layer will live.

Possible impact on existing Dremio, Reltio, and Prior Labs users

Existing users of Dremio, Reltio, and Prior Labs may benefit from SAP’s scale, enterprise reach, and deeper integration into mission-critical business processes.

The common risk is roadmap narrowing. Each company has value outside the SAP ecosystem, and users will want SAP to preserve that openness. Dremio users will watch for continued multi-engine and open lakehouse support. Reltio users will watch for continued standalone MDM value beyond SAP environments. Prior Labs users will watch whether SAP maintains the open research and open-source orientation around tabular AI.

SAP’s challenge is to integrate these assets without making them feel like SAP-only extensions.

Competitive implications

For Salesforce, this is a direct signal that SAP intends to compete for the enterprise agentic AI control plane. Salesforce has Informatica and Agentforce. SAP now has Reltio, Dremio, Prior Labs, Business Data Cloud, SAP AI Core, and Joule. The difference is that SAP’s strongest data asset is not customer engagement data alone, but the operational and financial data that drives business execution.

For Databricks and Snowflake, the Dremio acquisition is more nuanced. SAP Business Data Cloud already includes SAP Databricks, and Dremio adds lakehouse, federation, open catalog, and semantic-layer capabilities. This could complement Databricks in SAP environments, but it also raises questions about which platform owns the lakehouse architecture, catalog, optimization, and AI workload experience.

For MDM, data governance, catalog, and semantic-layer vendors, SAP’s move validates the category. It confirms that enterprise AI needs data quality, lineage, context, and governance. But validation also means consolidation pressure. Large application vendors are likely to keep acquiring or deeply partnering in these categories because agents need trusted data foundations to operate safely.

For AI model providers, Prior Labs is the most important signal. SAP is saying that enterprise AI will not be won by general-purpose LLMs alone. Structured business data may require specialized models that understand tables, statistics, relationships, and business outcomes natively. That could push the market toward hybrid AI architectures where LLMs handle language and orchestration, while specialized models handle prediction, optimization, and structured reasoning.

Our Take

The Prior Labs news changes the interpretation of SAP’s acquisition strategy.

With only Reltio and Dremio, SAP’s story was that it wanted to build a better data foundation for agentic AI. With Prior Labs added, the story becomes bigger: SAP wants to build a full-stack enterprise AI platform for structured business data.

SAP’s greatest advantage is that much of the world’s most important business data already sits in or near SAP systems. By adding Reltio, Dremio, and Prior Labs, SAP is trying to convert that advantage into an AI platform advantage: trusted entities, open data access, business semantics, lineage, and models that understand tabular business patterns.

The main risk is integration complexity. SAP must avoid turning this into a crowded portfolio of overlapping products with unclear boundaries. Customers will need to see how Reltio fits with SAP MDG, how Dremio fits with SAP Datasphere, HANA Cloud, and SAP Databricks, and how Prior Labs’ tabular foundation models will be governed, priced, monitored, and embedded into Joule-based workflows.

The market implication is clear: the agentic AI race is becoming a data-context-and-model race. SAP now has a stronger position in that race, provided it can integrate these acquisitions quickly and keep them open enough for heterogeneous enterprise environments.

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