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.
"We mainly use Analytics Cloud because it integrates with other SAP solutions. Our ERP is an SAP product, and our back-end is SAP Business Warehouse, so integration is an essential factor."
"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."
"One of the most outstanding features is being able to use the dashboard with a touch screen."
"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."
"I like the connectivity the solution provides with other products."
"Technical support is helpful."
"Data integration is very good."
"The most valuable features are the analytical application and the user story."
"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."
"I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process."
"The most valuable feature is the ease of use."
"You are able to see and follow trends."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"The ability to create complex calculations."
"This solution has improved insights into quantitative data."
"The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce."
"The business intelligence features should be improved because there is a lack of functionality regarding that part."
"Technical support could be more helpful and responsive."
"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."
"They need more support for more languages, Python for example."
"The security, authorization, and live connection to the back-office system features can be improved. A business analyst colleague who creates complex financial management reports has mentioned that he wants to see more fact and visualization features. It would be helpful to have more visualization features to be able to prepare more stories or reports for executives. For example, Tableau has some visualization features that are not present in this solution."
"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."
"I would also like to have more advanced features for predictive analytics."
"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."
"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 architecture should be improved to better handle the data."
"I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"When it comes to large datasets, the data should be extracted faster."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
"The pricing is a bit expensive."
"It's not an aesthetic platform at the moment."
SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.
You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.
SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.
The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.
SAP Analytics Cloud Capabilities
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
Reviews from Real Users
Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."
The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.
Tableau helps people and organizations become more data-driven as the trusted leader in analytics.
The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.
People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation
SAP Analytics Cloud is ranked 6th in Business Intelligence (BI) Tools with 24 reviews while Tableau is ranked 2nd in Business Intelligence (BI) Tools with 105 reviews. SAP Analytics Cloud is rated 8.0, while Tableau is rated 8.2. The top reviewer of SAP Analytics Cloud writes "Enables us to allocate, spread, and distribute actual figures". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Microsoft BI, Oracle Analytics Cloud, IBM Planning Analytics and SAP Analytics Hub, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, MicroStrategy, SAS Visual Analytics and Qlik Sense. See our SAP Analytics Cloud vs. Tableau report.
See our list of best Business Intelligence (BI) Tools vendors.
We monitor all Business Intelligence (BI) 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.