BARC Perspective: SAP BDC – Breaking Tradition and Embracing Data Products

Reading time: 5 minutes
BARC Perspective: SAP BDC – Breaking Tradition and Embracing Data Products
Figure 1: SAP Business Data Cloud (Source)

What happened?

On February 13th 2025, SAP announced the new managed software-as-a-service offering SAP Business Data Cloud (BDC).

Business Data Cloud (BDC) consists of multiple existing and new services built by SAP and its partners:

  • Object store which is an OEM from Databricks
  • Databricks Data Engineering and AI/ML Tools
  • SAP Datasphere
  • SAP BW 7.5 or SAP BW/4HANA as PCE hosted option
  • SAP Analytics Cloud
  • Joule, SAP’s AI assistant
  • Continuously extended offering of predefined data products and insight apps (analytical applications built with SAP Analytics Cloud) which will be complemented by partners

BDC will be in a controlled GA release in Q1 2025, so available for selected customers at first stage.

Why is it important?

  • Existing SAP BW customers (especially those using version 7.5 and below) will receive an additional modernization option. They can move their BW system (unless they used too much ABAP) into BDC (and therefore cloud) and benefit from extended maintenance till 2030.
  • The predefined content (data products) is expected by many SAP customers to help them build a data foundation for different analytical use cases more quickly.
  • BDC can serve as a business context-aware data foundation for any analytical and AI use cases with data partly stored in an object store which should be more cost-effective than loading the data in-memory.

What is interesting about it?

  • With BDC, SAP is reviving the popular and successful concept of a packaged Data & Analytics (D&A) platform. Compared to SAP BW however, it offers enhanced functionality, improved openness, and adherence to industry standards.
  • SAP has recently started to emphasize the business aspect in its messaging (see related BARC blog post in German), a strategy it is continuing with BDC. This suggests that the company is moving away from developing every single technology component within the D&A stack itself. Instead, SAP is focusing on its core strength – leveraging its deep understanding of business processes to transform the resulting data and metadata into valuable D&A insights. For example, one of the new components, the object store, was not developed by SAP but is an OEM version of Databricks.
  • BDC is a paradigm shift: The once-sacred HANA, which has been the core of every SAP offering for the past few years, is no longer the only option for data storage. Instead, the Databricks object store provides an industry-standard and more cost-efficient solution for storing data.
  • Customers using analytics outside of SAP systems faced the challenge of extracting SAP data and transferring it to their target environments. A market for data integration and connector solutions has emerged and remains particularly attractive for these customers. However, those operating both SAP and non-SAP data platforms “side by side” are more likely to benefit from the predefined data products in BDC. This, in turn, could have a negative impact on the market for third-party technology – except for scenarios that are not covered by BDC (e. g. on-premises data sources). 
  • SAP is embracing the trend towards building data products. 
  • SAC & Datasphere will no longer be sold separately – the BDC offering will replace the individual products; detailed packaging and licensing information will be provided in H1 2025.

Background and technological fit

  • The partnership with Databricks underscores the high value of structured data, especially database records, for AI/ML model training and inference. This is consistent with BARC’s research showing structured tables are the most preferred input for AI/ML initiatives. Moreover, BARC research also shows that the importance of unstructured data is also growing in importance.
  • Similar to SAP Datasphere, BDC continues to partner with vendors such as Collibra, Confluent and DataRobot.

Potential challenges for customers

  • Limited Availability for On-Premises Strategies
    Since BDC is a managed cloud service, it is not an option for customers committed to an on-premises strategy.
  • Reduced Value for Customers with Predefined Semantics
    Organizations that have already rebuilt their data semantics or rely on third-party technologies may see limited benefits from SAP’s predefined content.
  • Uncertain Future of Databricks
    While Databricks is preparing for an IPO, the company’s future ownership remains unclear, and there is a possibility that it could be acquired by an SAP competitor, impacting long-term interoperability.
  • BDC Can Only Be Purchased Through SAP
    Databricks customers who want to benefit from BDC must purchase BDC capacity units exclusively from SAP, limiting procurement flexibility.
  • Unclear Future Openness of the Platform
    While SAP presents BDC as an open platform, it remains uncertain what (‘live’) consumption interfaces will be available for data products or Insight Apps, potentially restricting integration options.
  • Potential Vendor Lock-In with SAP’s Offering
    SAP’s platform bundles multiple functionalities – including analytics, semantics (catalog), data integration, and storage – into a single ecosystem. While this provides a comprehensive solution, it also reduces flexibility, making it difficult to replace individual components. Additionally, integrating non-SAP complementary services may present challenges.
  • Risk of Paying for Redundant Data & Analytics Components
    By bundling various D&A components, SAP may cause customers to pay for services they already use outside of BDC. Organizations that run both SAP and non-SAP D&A platforms in parallel, may find a cross-platform data catalog more beneficial than one that is solely integrated into SAP BDC.
  • Unclear Pricing Strategy for Existing SAP BW Customers
    It is currently unclear how SAP will prevent SAP BW 7.5 and BW/4 customers – who have already invested in analytics frontends – from paying twice when moving to BDC.
  • BW developers still need additional education
    Typical BW developers appreciate the BW application that guides them in building a data platform. Both Datasphere and BDC are relational solutions that require learning their specific modeling approach. However, compared to Datasphere, data products may ease some of the workload.

Potential benefits for customers

  • Simplified Access to SAP Data
    Predefined and ready-to-use data products provide more convenient and integrated access to SAP data.
  • Stronger Data Foundation for AI and Unstructured Data
    Enhanced data management capabilities support AI-driven use cases, while the integration of unstructured data sources through Databricks further expands analytical capabilities.
  • Advanced Data Engineering Capabilities
    Robust data engineering tools empower data scientists and technical users with direct access to raw data for deeper analysis and innovation.
  • Potential Cost Reduction for SAP Data Warehousing
    High HANA costs are a common concern for BW and Datasphere customers. The introduction of an object store has the potential to reduce overall data warehousing costs, although actual savings will depend on licensing models and discount policies.
  • Predefined Analytical Content with Insight Apps
    Insight Apps leverage data products in analytical applications, allowing users to gain benefit from predefined content.
  • Enhanced User Interaction and Data Analysis with Joule Integration
    The integration of Joule improves the way users interact with the system and analyze data, making data exploration and insight generation more accessible. Moreover, users can build their own agents.
  • Better Data Understanding with the Data Catalog and Knowledge Graph
    The data catalog and knowledge graph enhance data transparency, governance, and accessibility, providing a more structured way to navigate and utilize data assets.

Strategic Outlook

  • SAP’s offering of SAP data products is beneficial for customers and a strategic move to stop SAP customers from copying data from SAP systems to other data platforms. However, time will tell whether customers will adopt the predefined content and how much value the predefined Insight Apps will deliver. Additionally, the platform’s openness to third-party frontends and its ability to consume data products remain key aspects to watch, especially given existing limitations in accessing Datasphere (e. g. Power BI OData).
  • The range of data products still needs to be expanded further to support additional business processes with content.
  • Details will show how the product works with live and federated data, for example in the context of AI.
  • Together with SAP’s operational solutions such as S/4HANA and SAP Business AI the new SAP BDC platform shapes the updated SAP Business Suite offering.
Don‘t miss out!
Join over 25,775 data & analytics professionals and get the latest product insights, research, surveys and more!

Discover more content

Author(s)

CEO BARC US

Shawn has over 28 years of international experience as an industry analyst, thought leader, speaker, author, and instructor on data, business intelligence (BI), analytics, artificial intelligence (AI), machine learning (ML), and cloud technologies. His former analyst roles and executive strategy positions with enterprise software firms give him a unique industry.

Shawn is a published author and has co-written two industry-leading books, “Social Data Analytics” and the latest, “Analytics: How to Win with Intelligence.” He was recently named one of Top 50 Global Thought Leaders on Analytics 2023 by Thinkers360.

VP of Research at BARC US

Kevin is the VP of Research at BARC US, where he manages the research agenda and writes about topics such as data integration, data observability, machine learning, and cloud data platforms. For 25 years Kevin has deciphered what technology means to practitioners, as an industry analyst, instructor, marketer, services leader, and tech journalist. He launched a data analytics services team for EMC Pivotal in the Americas and EMEA, and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and co-author of two books about data management, Kevin most loves helping startups educate their communities about emerging technologies.

Senior Analyst Data & Analytics

Timm Grosser is a Senior Analyst Data & Analytics at BARC with a focus on data strategy, data governance and data management. His core expertise is the definition and implementation of data & analytics strategy, organization, architecture and software selection.

He is a popular speaker at conferences and seminars and has authored numerous BARC studies and articles.

Senior Analyst Data & Analytics

Jacqueline Bloemen is a Senior Analyst for Data & Analytics, focused on data & analytics strategy and culture, architecture & technology, governance and organization. She is an author and speaker, and has been advising companies of all sizes and industries for over 40 years.

Her current research and consulting activities are focused on the transformation towards data-driven business and data democracy. She has been with BARC since 2005.

Founder & CEO

As founder and CEO, Dr. Carsten Bange has built BARC into Europe’s leading market analysis and consulting firm for data & analytics over the past 25 years. With his team of 50 people, he helps companies make the strategic, organizational and technological decisions that ensure their successful transformation into data- and analytics-driven organizations.

Dr. Bange is considered one of the leading experts on the technology market and the beneficial use of data & analytics, which makes him a sought-after speaker, author and consultant for companies, software vendors and service providers as well as investors.

Senior Analyst Data & Analytics

Larissa Baier is a Senior Analyst in the Data & Analytics field, combining expertise in consulting projects and research. She supports end customers with strategic questions regarding BI and analytics front ends, including architectural design, usage scenarios, and software selection. Her focus lies on BI and analytics front ends for dashboards, reporting, analysis, planning, as well as self-service BI and analytics. A particular area of expertise lies in assisting SAP customers in deriving added value from their data.

In the research domain, Larissa is responsible for the “Score” and “Guide” product lines and serves as the product manager for the “BARC Score Enterprise BI & Analytics Platforms.” Additionally, she contributes as a co-author to various market analyses, including the “BI & Analytics Survey” and the “BARC Data, BI, and Analytics Trend Monitor.”

Check out the world´s most comprehensive guide to the Power BI ecosystem.