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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 15, 2026

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
7.1
Number of Reviews
81
Ranking in other categories
Data Integration (14th), BI (Business Intelligence) Tools (3rd), Business Performance Management (3rd), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (11th), Cloud Data Warehouse (12th)
SAP Data Hub [EOL]
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Metadata Management (16th)
 

Featured Reviews

Pavlina Pankova - PeerSpot reviewer
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.
VM
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.

Quotes from Members

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

Pros

"There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling."
"It is easy to integrate with SAP ERP and BW systems, allowing smooth data transfer and live connections without much development."
"The most valuable feature of the tool is machine learning."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"I love a lot of things about the product; the first is Smart Discovery and Smart Insight, and it is amazing having predictive analysis and AI algorithms."
"The planning functionality is good."
"A point of differentiation in the market for Analytics Cloud compared to other analytics products, is it offers not only business intelligence within the application, but also it has inbuilt AI and machine learning capabilities that can be used not only by data scientist types in the organization, but for general users who can get the benefit of inbuilt predictive features in the tool."
"The most valuable features of SAP Analytics Cloud are its native integration with SAP data and the ability to leverage SAP artifacts."
"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."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"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."
"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."
 

Cons

"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."
"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."
"SAP Analytics cloud needs better exporting options."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
"The price, integration, and modeling capabilities could be better. I have to use an integration engine to integrate our products and databases. SAP Analytics Cloud is made specifically for KPIs and business intelligence. The modeling capabilities are kind of poor. You always have to model the data and then present it visually in SAP Analytics Cloud. In the next release, I would like to have a lite version for planning to create scenarios quickly. For me personally, planning is the most complicated feature of SAP Analytics Cloud."
"The connection works only for importing data. Currently, there is no real-time integration between SAP Analytics Cloud and CRM. There are some features present in the classic but not in the optimized version. If I need to create something specific, I often have to switch the versions. It would be more convenient to have a single product that incorporates all the necessary features."
"Sometimes we have difficulty connecting to a SharePoint list."
"Technical support is only an online chat option. They need a phone number to talk to someone and they need to increase the support available."
"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."
"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."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
 

Pricing and Cost Advice

"Its pricing is okay as compared to its competitors."
"The platform is about 50% more expensive than Power BI."
"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."
"The pricing of this product is reasonable."
"SAP pricing tends to be premium, so it is slightly higher."
"The tool's pricing is medium, and licensing costs are yearly."
"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."
"SAP Analytics can be very costly to license, which can make it difficult for organizations to implement."
"The Cloud is very expensive, but SAP HANA previous service is okay."
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Top Industries

By visitors reading reviews
Manufacturing Company
16%
Financial Services Firm
9%
Construction Company
6%
Retailer
6%
Manufacturing Company
17%
Financial Services Firm
13%
Construction Company
9%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise16
Large Enterprise43
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 ...
What do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
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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Also Known As

SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub
No data available
 

Overview

 

Sample Customers

Live Oak Bank
Kaeser Kompressoren, HARTMANN
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