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

SAP Business Data Cloud and SAP Data Hub [EOL] are both solutions in the Data Governance category. Additionally, 91% 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 109 SAP Business Data Cloud reviews

13,088 Views
524 Comparison Views

91% 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]

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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: May 2026).

Buyer's Guide

Data Governance

May 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

6.4

Number of Reviews

109

Ranking in other categories

Data Integration (10th), BI (Business Intelligence) Tools (3rd), Business Performance Management (2nd), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (8th), Cloud Data Warehouse (10th)

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

"Data integration is very good."

"We switched to SAP Analytics Cloud primarily for the planning, development, and the user-friendliness."

"The solution is quite effective for collaborative planning."

"We use this solution for real-time dashboards, modeling data and for predictive analytics."

"Another good thing about SAP is that it has powerful tools like the SAP Data View and HANA and BO configuration, which will always give you better results with any type of data and any amount of data within a short time."

"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."

"The product is flexible and has features like AI, link analysis, and insights. It has many features. I can search, and it creates automatic charts without selecting anything. For example, I can ask, "What is the gross margin?" the tool builds a chart based on my question."

"There is a real-time reporting mechanism in place. SAP Analytics Cloud operates on the SAP S/4HANA database, ensuring real-time reporting is always available. This capability allows the business to monitor cash inflows and outflows at any given moment easily."

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."

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

"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."

"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."

Cons

"Now, improvements are coming quarterly whereas previously it was on a monthly basis. Even with this, it is still a market leader."

"Pricing is an area for improvement in SAP Analytics Cloud, apart from exporting."

"Though it's the best placed product when working with an SAP BW backend, it still lacks a lot of functionalities when compared to other tools such as Power BI or Tableau."

"However, there are areas of improvement, particularly in terms of visualization. The front-end interface of SAP Analytics Cloud is not as impressive as Tableau and Power BI. The charts in other solutions have a more visually appealing and customizable look, while in SAP Analytics Cloud, there's a lack of alignment between numbers and charts. This graphical aspect, especially concerning charts, is not as satisfactory in SAP Analytics Cloud compared to its counterparts."

"Some algorithms are complex and can't be processed by just tagging the data and expecting results."

"Data intelligent, data flow, and data pipeline are all very much more expensive now."

"Documentation-wise, we see some gaps when trying to connect different solutions. Some generic documents are available, but the steps maintained are not accurate. There is room for improvement in documentation."

"It seems like there's a problem with the tool's licenses. If there are a lot of users, like 200, who only use the solution once a year, paying for a full-year license for each user is expensive. There's no option for users who only use the solution occasionally."

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."

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

"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."

"The company has everything offshore."

Pricing and Cost Advice

"It's not that costly as such for the time being."

"The pricing is based on an annual license and is rated a four out of ten."

"This solution is pricey."

"Its price is slightly on the higher side."

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

"I don't have the exact price for SAP Analytics Cloud, but it could be improved and made cheaper, especially when compared to Power BI."

"The pricing is reasonable."

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

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

Manufacturing Company

14%

Financial Services Firm

Construction Company

Retailer

Manufacturing Company

18%

Financial Services Firm

12%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	44
Midsize Enterprise	21
Large Enterprise	64

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 17% of the time

Tableau Enterprise vs SAP Business Data Cloud

Compared 4% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 4% of the time

Anaplan vs SAP Business Data Cloud

Compared 3% of the time

Databricks vs SAP Business Data Cloud

Compared 3% of the time

More SAP Business Data Cloud Competitors

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

Compared 10% of the time

Collibra Platform vs SAP Data Hub [EOL]

Compared 9% of the time

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

Compared 8% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 6% of the time

Alation Data Catalog vs SAP Data Hub [EOL]

Compared 4% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

SAP Business Data Cloud

May 2026

Download SAP Business Data Cloud product report

Buyer's Guide

Data Governance

May 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: May 2026.

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