SAP Completes Dremio Acquisition: What It Means for Enterprise Data & AI Leaders in Malaysia

A Strategic Move for Enterprise AI

SAP has officially completed its acquisition of Dremio, marking another major milestone in its enterprise AI and data platform strategy. The move strengthens SAP’s ability to unify SAP and non-SAP data while accelerating real-time analytics and Agentic AI capabilities through an open data lakehouse architecture.

For CIOs, CDOs, Chief Data & Analytics Officers, and business leaders, this is more than an acquisition—it signals where enterprise data platforms are heading.

Why This Acquisition Matters

Many enterprise AI initiatives struggle not because AI models are insufficient, but because organizational data remains fragmented across ERP systems, cloud platforms, operational databases, and legacy applications.

SAP’s acquisition of Dremio directly addresses this challenge by strengthening its ability to:

• Unify SAP and non-SAP data
• Enable real-time analytics without unnecessary data movement
• Support open lakehouse architectures
• Accelerate AI-ready enterprise data platforms
• Improve governance and business context for AI workloads

SAP has also stated its commitment to continue investing in the open-source technologies central to Dremio, including Apache Iceberg, Apache Arrow, and Apache Polaris.

What It Means for Malaysian Enterprises

Many Malaysian organisations are modernising their data landscape while balancing investments across SAP and non-SAP applications.

This announcement reinforces several industry trends:

1. Open Data Platforms Are Becoming Strategic

Enterprises increasingly require analytics platforms that can access data across multiple environments rather than creating additional copies of data.

2. AI Depends on Trusted Data

Generative AI and Agentic AI require governed, high-quality enterprise data before they can deliver meaningful business value.

3. Hybrid Data Architectures Will Continue

Most organisations will continue operating hybrid environments consisting of:

• SAP S/4HANA
• SAP Business Data Cloud
• Oracle
• Microsoft SQL Server
• PostgreSQL
• Cloud object storage
• Existing enterprise data lakes

Connecting these platforms efficiently will remain a key success factor.

What Should CIOs and CDOs Do Now?

Rather than making immediate technology changes, this is an appropriate time for enterprise leaders to:

• Review current analytics and AI roadmaps.
• Evaluate long-term data architecture strategies.
• Identify opportunities to reduce data silos.
• Prioritise open, governed, AI-ready data platforms.
• Monitor SAP’s product integration roadmap as further announcements become available.

As with any major acquisition, integration details and product direction will continue to evolve over time. Organisations should base strategic decisions on official SAP communications as additional information is released.

ORTECH’s Perspective

As a long-time Dremio implementation partner, OR Technologies (ORTECH) views this development as an important milestone in the evolution of enterprise analytics and AI.

Our team continues to help organisations design, implement, and optimise modern Analytics Engineering platforms—from solution architecture through implementation, integration, performance optimisation, governance, and knowledge transfer.

We have delivered enterprise analytics and modern data platform initiatives across:

• Banking & Financial Services
• Government
• Government-Linked Companies (GLCs)
• Large Enterprises

Our focus remains unchanged: helping customers build scalable, open, AI-ready data platforms that maximise the value of their enterprise data investments.

Looking Ahead

The completion of SAP’s acquisition of Dremio represents an important step towards more connected enterprise data ecosystems.

For business leaders, the opportunity is clear: build a future where SAP and non-SAP data can work together seamlessly to support analytics, automation, and AI-driven decision-making.

The organisations that invest early in modern, governed, and open data architectures today will be best positioned to realise the full potential of enterprise AI tomorrow.

Learn More

If your organisation is evaluating a modern data lakehouse, Analytics Engineering platform, or AI-ready enterprise architecture, ORTECH can help assess your current environment and develop a practical roadmap aligned with your business objectives.

Official SAP Announcement: SAP Completes Dremio Acquisition.

About ORTECH

OR Technologies Sdn Bhd (ORTECH) is Malaysia’s Analytics Engineering Company specializing in AI-ready data platforms, finance analytics automation, data engineering, data governance, and modern lakehouse architectures.

ORTECH works with organizations across BFSI, Government, GLCs, and Enterprises to modernize analytics and accelerate AI adoption using trusted and governed data foundations.

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