SAP Business Data Cloud vs SAP Data Hub [EOL] comparison

Why PeerSpot?

SAP Business Data Cloud and SAP Data Hub [EOL] are both solutions in the Data Governance category. Additionally, 92% of SAP Business Data Cloud users are willing to recommend the solution, compared to 66% of SAP Data Hub [EOL] users who would recommend it.

SAP Business Data Cloud

Read 120 SAP Business Data Cloud reviews

23,143 Views
1,157 Comparison Views

92% willing to recommend

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

SAP Business Data Cloud

SAP Data Hub [EOL]

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 15, 2026

SAP Data Hub [EOL] and SAP Business Data Cloud compete in the data management category within the SAP ecosystem. SAP Business Data Cloud seems to have the upper hand with its modern cloud-native features and scalability.

Features: SAP Data Hub [EOL] included comprehensive data orchestration, integration capabilities, and processing from diverse data sources. SAP Business Data Cloud focuses on scalability, real-time data processing, and enhanced data governance. Its seamless integration with other cloud services provides greater flexibility and efficiency.

Ease of Deployment and Customer Service: SAP Data Hub [EOL] required on-premise deployment, demanding significant infrastructure and setup time. SAP Business Data Cloud's cloud-based model simplifies deployment, offering quicker setup and minimal IT overhead. It benefits from stronger ongoing customer support for smoother transitions and operations.

Pricing and ROI: SAP Data Hub [EOL] involved higher initial setup costs due to infrastructure requirements, affecting ROI. SAP Business Data Cloud offers a cost-effective setup by eliminating extensive hardware investment. This solution reduces upfront costs with a scalable pricing model, potentially leading to higher long-term returns and value.

To learn more, read our detailed Data Governance Report (Updated: October 2026).

Buyer's Guide

Data Governance

October 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

SAP Business Data Cloud

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

120

Ranking in other categories

Data Integration (11th), BI (Business Intelligence) Tools (3rd), Business Performance Management (4th), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (10th), Cloud Data Warehouse (9th)

SAP Data Hub [EOL]

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Brings reporting, planning, and prediction together in one seamless workflow

I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

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Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool, and because they are, you don't have to buy another tool to make planning, you don't have to buy another tool to implement prediction."

"SAP is very scalable."

"I would advise anyone looking into SAP Analytics Cloud to go for it."

"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."

"One feature I've found most valuable is discovery."

"It's very user-friendly and intuitive for both the management and technical team - no matter who uses it, it's not too hard to deal with."

"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."

"I like the predictive features of SAP; it's an easy to use tool for an end-user, you don't need a lot of technical knowledge to use the product, and it is very easy to learn and gives you flexibility in designing your own dashboard with its new analytics designer."

More SAP Business Data Cloud pros

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"The most valuable feature is the S/4HANA 1909 On-Premise"

Cons

"The predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use."

"Its integration or connectivity with non-SAP systems, big data, and social media, such as YouTube, LinkedIn, et cetera, can be improved. This is where SAP has limited features as compared to other solutions."

"An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement."

"SAP could add more templates to the platform."

"Regarding the deployment process, I find it complex. SAP requires more configurations, and it is not easy to install SAP."

"I'm not satisfied with technical support because they're taking some time. Sometimes I think they could be faster."

"Regarding performance and user experience in SAP Business Data Cloud, it is currently a product that is not fully matured yet."

"In the live connection model, we can't create calculated dimensions, however, in the import model we can create them."

More SAP Business Data Cloud cons

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"The company has everything offshore."

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

Pricing and Cost Advice

"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."

"The platform is about 50% more expensive than Power BI."

"It is an expensive solution."

"Its pricing is okay as compared to its competitors."

"The pricing of this product is reasonable."

"This solution offers value for money and you get what you pay for."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

"SAP pricing tends to be premium, so it is slightly higher."

More SAP Business Data Cloud pricing and cost advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

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Top Industries

By visitors reading reviews

Media Company

13%

Outsourcing Company

13%

Manufacturing Company

11%

Construction Company

Outsourcing Company

14%

Manufacturing Company

14%

Construction Company

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	47
Midsize Enterprise	22
Large Enterprise	79

No data available

Questions from the Community

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

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What is your experience regarding pricing and costs for SAP Analytics Cloud?

I normally do not deal with the commercials, so I am not aware of the pricing part of it.

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What needs improvement with SAP Analytics Cloud?

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Comparisons

SAP BusinessObjects Business Intelligence vs SAP Business Data Cloud

Compared 15% of the time

Tableau Enterprise vs SAP Business Data Cloud

Compared 3% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 3% of the time

Databricks vs SAP Business Data Cloud

Compared 3% of the time

Oracle Analytics Cloud vs SAP Business Data Cloud

Compared 2% of the time

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Oracle Data Integrator (ODI) vs SAP Data Hub [EOL]

Compared 9% of the time

Collibra Platform vs SAP Data Hub [EOL]

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub [EOL]

Compared 6% of the time

SSIS vs SAP Data Hub [EOL]

Compared 5% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 3% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

SAP Business Data Cloud

September 2026

Download SAP Business Data Cloud product report

Buyer's Guide

Data Governance

October 2026

Download SAP Data Hub [EOL] product report

Also Known As

SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub

No data available

Overview

SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.

What are the most important features of SAP Business Data Cloud?

Unified Data Connectivity: Native integration with SAP applications and third-party sources, eliminating data silos
Business-ready data products: Fully managed SAP data products across all business processes, providing immediate access to high-quality, trusted data
Semantic Data Modeling: A business semantic layer ensures data is translated into consistent, business context across the enterprise
End-to-End Data Governance: Built-in lineage tracking, data quality management, access controls, and compliance support
AI-Assisted Analytics and Planning: Go from insights to action instantly with planning and analytics together in one solution
Open Data Architecture: Enable secure and seamless, zero-copy sharing of semantically rich SAP data into existing data platform environments

What benefits or ROI should users look for in SAP Business Data Cloud?

Accelerated Time to Insight: Less time cleaning and validating data means more time analyzing and acting
Reduced Data Management Costs: One platform replaces multiple point solutions, lowering licensing and IT overhead
Improved Data Trust and Quality: Embedded governance reduces the risk of decisions made on inaccurate or inconsistent data
Faster Compliance and Auditability: Built-in lineage and access controls streamline regulatory reporting and audit preparation
Enhanced Business Agility: Real-time data and self-service analytics help teams respond quickly without relying on IT
Maximized SAP Investment Value: Makes existing SAP transactional data fully accessible and analytics-ready
AI Readiness: A clean, governed data foundation accelerates confident AI and ML adoption across the business

SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.

SAP

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Sample Customers

Ericsson, Vodafone, Google, Team Liquid, Ryder Cup, Accenture

Kaeser Kompressoren, HARTMANN

Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: October 2026.

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