We performed a comparison between Microsoft BI and SAP Analytics Cloud based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Microsoft BI is the winner in this comparison. Its users give it higher marks in the customer support category. SAP Analytics users are happier with the pricing, however.
"The drill-down capabilities and automatic charts are the best ones. The visualization is also very good. In terms of visualization, no competing product, such as IBM Cognos or any other product, has the same capabilities."
"The solution is easy to set up and implement."
"It's a great tool for visualization data, and it's free for engineers."
"The fact that you can visualize items is great."
"There is continual improvement year-over-year."
"With the out-of-the-box Data Platform and Business Intelligence ecosystem, you get the entire platform with a single license."
"In my experience the scalability is good. You are able to increase users and add more data."
"The stability is good."
"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."
"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."
"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 Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good."
"The ability to collaborate and plan together is great."
"The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"Considering the reporting part, I rate the tool a nine out of ten."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect."
"The setup took a lot of tinkering with InfoSec to allow us to do stuff."
"I cannot comment on the stability as we haven't yet used it for a big project."
"The Power Query feature needs to be improved to handle large amounts of data. This feature is also slow for large data transfers making it better to use some kind of script."
"I would like to see better, undisturbed stability without any interruptions."
"I believe there is room for improvement in terms of authentication and certain functionalities in Power BI. For instance, adjusting the width of columns is not easily done, as there is only an option to enable or disable automatic adjustment. This can be a significant drawback for clients who desire more flexibility."
"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."
"The only challenge I have found is that they do not have a Mac version."
"Statistical analysis should be a bit more profound than it is."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
"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."
"Sometimes there are speed issues with big deletion data."
"Custom visuals is another area of improvement. There are also some mobile features that are missing. There are features that aren't available on the mobile."
"Its integration or connectivity with non-SAP systems, big data, and social media, such as YouTube, LinkedIn, et cetera, can be improved. This is where SAP has limited features as compared to other solutions."
"SAP could add some more visualization features to Analytics Cloud, like charts and analytics. I would also like to see some more data cleaning and ad hoc functions added to this solution."
"There should be more features for the time series charts."
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 60 reviews. Microsoft Power BI is rated 8.0, while SAP Analytics Cloud is rated 8.0. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle Essbase, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Anaplan and IBM Cognos. See our Microsoft Power BI vs. SAP Analytics Cloud report.
See our list of best BI (Business Intelligence) Tools vendors.
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.