SAP and Databricks Partnership | Enterprise Data

Overview

If there’s one thing that virtually every digital leader craves today, it’s the ability to unify their data—across all silos—and turn it into real business value with advanced analytics and AI. And if there’s one thing that consistently blocks that dream, it’s the complex integration required to make ERP systems like SAP talk seamlessly to modern data platforms. 

That’s why, on February 13, 2025, SAP and Databricks dropped a bombshell announcement: a “landmark partnership” that integrates Databricks’ powerful Lakehouse platform natively into the new SAP Business Data Cloud (BDC). The result? A single, governed environment where SAP’s mission-critical business data and non-SAP data can live in harmony—ready to fuel analytics, machine learning, and AI applications at massive scale. 

Databricks’ CEO Ali Ghodsi described it as “helping every organization bring together all their data to build domain-specific AI.” For enterprises around the globe that rely on SAP, this development is arguably one of the most significant data and analytics transformations to happen in years. 

In this comprehensive blog series, we’ll explore everything you need to know about the SAP-Databricks partnership—what’s new, why it matters, how it works, and what it means for businesses seeking to power up with AI and next-generation analytics.

Key Developments (Late 2024 – Early 2025)

A “Landmark Partnership” and the New SAP Business Data Cloud

On February 13, 2025, SAP launched the SAP Business Data Cloud platform, positioning it as an open, extensible environment for data innovation. Alongside this debut came the revelation that SAP would natively embed Databricks into its ecosystem—a highly strategic move to unify SAP’s business-process data with Databricks’ cutting-edge Lakehouse capabilities:

• SAP Business Data Cloud (BDC) is the evolution of SAP’s data infrastructure, combining features from previous offerings (like SAP Datasphere and Analytics Cloud) with next-level data sharing, governance, and analytics.
• By folding Databricks directly into BDC, SAP effectively provides a first-party data Lakehouse service, fully integrated and sold under the name “SAP Databricks.”

The SAP Databricks Product Launch

On the same day, Databricks announced SAP Databricks as a new product: a version of its platform specifically tailored for SAP customers and deeply integrated with SAP’s data models and governance frameworks. The highlight?

• SAP will resell Databricks as a co-branded solution within BDC, so existing SAP clients can seamlessly adopt Databricks without managing a separate data platform contract.
• It will be available across major public clouds (AWS, Azure, GCP), aligning with SAP’s multi-cloud approach.
• Databricks’ Unity Catalog will be the central governance layer, ensuring security and metadata consistency across SAP and non-SAP data sources.

Strategic Investments and Go-to-Market

From large-scale events—like SAP’s “Business Unleashed” virtual conference—to major system integrators stepping in with specialized accelerators, both SAP and Databricks are going all-in on a robust go-to-market campaign.

What Motivated the Collaboration?

Breaking Data Silos for AI

For years, one of the biggest obstacles to enterprise AI has been SAP data silos—those locked-up, vital business records in ERP and other SAP modules that rarely see the light of advanced analytics.

This partnership offers a giant leap forward in unifying SAP’s data with external sources—removing a chronic integration headache and paving the way for cross-platform analytics and generative AI.

The AI and Big Data Imperative

Despite SAP’s core strength in transactional systems, it traditionally wasn’t optimized for “big data”—the type that includes huge volumes of unstructured inputs (logs, images, documents) or streaming data (IoT, social media, etc.).

• The rise of generative AI and enterprise-scale ML applications demands a scalable, open data foundation.
• As a leader in big data processing, Databricks brings the exact technologies SAP customers need to build robust ML pipelines.

In short, SAP recognized it didn’t need to reinvent a big data engine—it just needed to embrace one of the best platforms out there: Databricks.

Customer Demand for Unified Data

With 90% of Fortune 500 running SAP, the question Databricks kept hearing from enterprise customers was: “What about SAP data?” They wanted to unite these mission-critical ERP data sets with non-SAP data in one environment. SAP also heard from customers that they desperately wanted to combine SAP data with external sources to gain fresh insights. Now, they finally can—effortlessly.

Mutual Strategic Benefit

For SAP:

• Gains a robust data & AI platform (Databricks) without building it from scratch.
• Strengthens its open-data vision and provides a one-stop shop for next-gen analytics.

For Databricks:

• Lands a huge enterprise footprint by tapping directly into SAP’s massive customer base.
• Gains unique access to mission-critical corporate data previously difficult to integrate.

Both sides benefit from a joint solution that’s more competitive than either could offer alone—something key to staying ahead in a rapidly evolving AI-driven market.

Benefits of the SAP-Databricks Collaboration for Enterprises

A Unified Data Foundation & Easier Integration 

Imagine a world where your SAP data (from S/4HANA, Ariba, SuccessFactors, etc.) automatically appears as a governed “data product” that retains its business context (like relationships, semantic definitions) and can be instantly combined with non-SAP data in a single Lakehouse environment. 

• Zero-copy data sharing via Delta Sharing: No more exporting duplicative datasets; Databricks can read SAP data in place. 

• Simplified data integration: Eliminates manually stitched ETL pipelines that cause delays and potential data quality issues. 

SAP plus Databricks effectively offers a single source of truth, bridging operational and big data worlds into one clean, business-ready platform. 

Enhanced AI/ML and Analytics 

• Data scientists can apply advanced ML algorithms directly to SAP data at scale.
• SAP Databricks also supports generative AI use cases (for example, using MosaicML to build domain-specific LLMs trained on SAP business data).
• SAP’s own AI copilot (Joule) will benefit from a far richer dataset to produce more accurate recommendations.

Faster, Better Analytics: 

• Combine billions of transactional SAP records with external data in an interactive environment powered by Databricks Spark clusters. 

• Achieve real-time or near-real-time decision-making. For instance, a finance team can quickly mash up live SAP ledger data with an external feed of economic indices to see how inflation affects profitability. 

• Out-of-the-box “insight apps” from SAP can now run on this combined data—giving finance, HR, or supply chain teams pre-built advanced analytics right inside SAP Business Data Cloud. 

Lower Cost & Complexity: 

• Fewer data duplications and simplified governance. 

• Eliminates the headache and expense of building separate data lakes for advanced analytics. 

• IT teams can re-focus on high-value data science rather than data plumbing. 

Robust Governance and Business Context 

A common fear of large enterprises is that opening data for AI means risking compliance. Here’s where the new solution shines: 

• SAP data retains its “One Domain Model” semantics. For instance, “SalesOrder” keeps its original SAP meaning and associated relationships. 

• Databricks’ Unity Catalog provides a unified governance layer that ensures access control and data lineage for both SAP and non-SAP data. 

• Regulated industries (finance, healthcare) can be assured that security rules remain consistent across the entire environment. 

Broader Data Ecosystem Innovation 

SAP is no longer a “closed” ecosystem. By promoting open standards (like Delta Sharing), they invite: 

• Other analytics tools to plug in easily. 

• System integrators (Deloitte, Accenture, EY, Capgemini) to build specialized solutions (e.g., predictive supply chain, industry-specific ML). 

• ISVs to develop “insight apps” that combine the best of SAP’s domain expertise with Databricks’ big data/AI power. 

Ultimately, enterprises can expect a thriving partner ecosystem that constantly adds value on top of the SAP-Databricks foundation. 

How can Cognitus Help Embrace the SAP-Databricks Partnership

Cognitus can help businesses harness the power of SAP-Databricks collaboration by seamlessly integrating SAP S/4HANA, ECC, and Data Sphere with the Databricks Lakehouse. This allows for real-time data transfer, AI-driven analytics, and intelligent forecasting across finance, supply chain, and customer operations.  

By leveraging Databricks’ machine learning capabilities, businesses gain deeper insights, improve decision-making, and enhance operational efficiency. Combining these benefits with a cloud-first, scalable approach, Cognitus ensures secure data governance and compliance while optimizing ETL pipelines for seamless data movement.

For CIOs, data leaders, and business executives, the implications are huge: 

• Faster data integration with no more “SAP black boxes.” 

• Accelerated AI adoption to reinvent business processes—finance, supply chain, HR, marketing, you name it. 

• Robust governance so you can innovate with confidence and keep compliance intact. 
• Open, future-proof architecture that welcomes additional tools, partners, and data sources. 

Get in touch with our experts to learn more!  

Conclusion: A Bold New Era for Enterprise Data

The SAP-Databricks partnership is more than a press release or a surface-level integration; it’s an unprecedented convergence of two powerhouses: 

• SAP: The global juggernaut of enterprise software, running mission-critical applications for thousands of the world’s biggest companies. 

• Databricks: The modern data platform leader, championing the open Lakehouse architecture, large-scale AI, and advanced analytics innovation. 

Together, they’re solving one of the toughest challenges in digital transformation: unifying structured (SAP, ERP) and unstructured (big data, IoT) datasets under a single governance framework, making them ready for AI-driven insights like never before. 

In essence, if you’ve always dreamed of harnessing your most strategic data (SAP) to drive next-gen analytics, predictive modeling, or even generative AI chatbots that truly understand your business—that future is now. 

Stay tuned for the next blog to learn about the technical aspects of this integration, its impact on industries like Finance, Healthcare, Lifesciences, and Manufacturing, as well as what’s coming next with this partnership.

Got questions? Contact us to learn about how this partnership can help your business gain a competitive edge!