SAP Business Data Cloud vs SAP Data Hub comparison

"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."

"It's many features make it the best in the market."

"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."

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

"The reporting, dashboards, KPIs, and visualization are the most valuable."

"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."

"The planning functionality is good."

"I would recommend this solution for companies that are SAP dependent with users working in this environment."

"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."

"SAP could add more templates to the platform."

"Connection and integration with other applications have a lot of restrictions at the moment."

"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."

"There should be more features for the time series charts."

"Some of the standard visualizations, such as a speedometer or a goal chart, are not there and should be added."

"The security, authorization, and live connection to the back-office system features can be improved."

"Live Data Models are very slow and the setup can be improved, with tools such as Cloud Connector being inbuilt into SAP Analytics Cloud. Likewise, we need to write application code from scratch, rather than tweaking existing code, as we might with Excel macros. Moreover, when using responsive pages, the widgets get adjusted according to the mobile screen. As a result, when I place two or three KPI tiles, they can only be viewed tile-by-tile. We want to see the full dashboard on the mobile screen and zoom in to click on a particular section of the dashboard and go further into that. But displaying tile-by-tile makes it very annoying and the upper management using this dashboard might not be aware there are any more tiles to view."

"In general Power BI seems to be more professional and user-friendly, it's certainly easier to find data."

"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."

"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."

"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."

"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."

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

"SAP Analytics Cloud can be quite expensive."

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

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

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

"The pricing of this product is reasonable."

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