We performed a comparison between SAP analytics cloud vs. Tableau based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Tableau users say the best feature is the ease of use, which allows anyone to use the platform. The visual capability helps users explain the data more straightforwardly. On the downside, users say Tableau could improve its data management and ETL features, especially in the Tableau Prep feature.
Comparison Results: SAP Analytics Cloud seems to be a superior solution because of the multiple features. Although the support is slow, it is still better than Tableau’s standard support. Tableau’s upgrades are also challenging to install.
"SAP Analytics Cloud allows you to quickly perform various tasks in terms of virtualization. CyberArk itself requires some enhancements to better connect with other technologies. While it's easy to connect with SAP, using analytics tools may sometimes necessitate sourcing information from different platforms. You might need data from SAP or other technologies/platforms to access specific information not available within SAP. SAP is effective for managing storage and enhancing virtualization capabilities."
"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves."
"It integrates with third-party applications such as Google Drive and Excel,"
"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. The solution is also very nice, user-friendly, and easy to build. It's very easy to use the features of SAP Analytics Cloud."
"The solution is stable."
"Considering the reporting part, I rate the tool a nine out of ten."
"The solution is quite effective for collaborative planning."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"It provides business users with a tool, so they are not dependent on IT."
"I have found Tableau easy to use and the features are superb."
"This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"It is very easy to create dashboards, charts, and graphs."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"Analysis is now more visual than in the past."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."
"SAC, which is the cloud version, lost some good features from the previous planning product, like BPC or BPS."
"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."
"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."
"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."
"SAP could add more templates to the platform."
"Currently only one data modeler can work at a time."
"One potential improvement is how we can transpose data. With SAP, if you have data from one system with a declared data type and a different system with another data type, the transfer is tricky."
"The integration with other program languages, like Python, needs to be better."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"They need to improve the bar chart position and width."
SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 60 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. SAP Analytics Cloud is rated 8.0, while Tableau is rated 8.4. The top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, IBM Planning Analytics, Microsoft Power BI, Anaplan and IBM Cognos, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Qlik Sense. See our SAP Analytics Cloud vs. Tableau report.
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We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
In case you are working for a small accounting firm, Tableau or Power Bi may cover all your needs. It is important, what kind of ERP system do you use. Are you running SAP S4/Hana, stay in SAP word. If you run other product look to other options. Does not make sense to use SAP AC only, far too expensive and will be hard to utilize fully. Solutions like Tableau or Power Bi are easy to use and will give you great result. On the other side it is not so much about the system, but about data quality, this is the key.
Tableau is a fantastic product. It works really well and is remarkably easy to use. SAP Analytics Cloud is also a good product. Both are quite inexpensive. Personally, I prefer Tableau for its ease of use and quick results.