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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
6.6
Number of Reviews
83
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

"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"SAP Analytics Cloud changed the culture of meetings with data-driven management for our client."
"The product's most valuable features are reporting and planning, driverless planning, business vertical-wise planning, dashboarding, forecasting tools, and business forecasting."
"The Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good."
"SAP Analytics Cloud is a very good tool, the feature that's most useful for me is the reporting as it can be done via Google Chrome, and the solution is also very nice, user-friendly, and easy to build, making it very easy to use the features of SAP Analytics Cloud."
"The most useful feature of SAP Analytics Cloud is planning because it helps users with making predictions and forecasts. Clients can forecast, make data allocations, and other actions. The solution is useful for planning."
"Visualization is quite seamless and awesome. Once the data messaging is set up, it's straightforward and simple to select how it should be displayed. So, that's another advantage of SAP."
"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript)."
"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."
"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."
"The most valuable feature is the S/4HANA 1909 On-Premise"
 

Cons

"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."
"SAP Analytics Cloud needs better exporting options."
"AI doesn't work as well with SAP live connections."
"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."
"I believe the stability needs more work."
"Sometimes we have difficulty connecting to a SharePoint list."
"I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design."
"Some of the standard visualizations, such as a speedometer or a goal chart, are not there and should be added."
"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."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"The company has everything offshore."
"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."
 

Pricing and Cost Advice

"This solution offers value for money and you get what you pay for."
"The pricing of this product is reasonable."
"SAP pricing tends to be premium, so it is slightly higher."
"It's not that costly as such for the time being."
"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."
"Its licensing is on a monthly basis."
"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."
"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."
"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
7%
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 Business27
Midsize Enterprise17
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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