Microsoft Power BI vs. SAP Predictive Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Microsoft Power BI
Score 8.5 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$10
per month per user
SAP Predictive Analytics
Score 7.0 out of 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A
Pricing
Microsoft Power BISAP Predictive Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BISAP Predictive Analytics
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Microsoft Power BISAP Predictive Analytics
Features
Microsoft Power BISAP Predictive Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.3
196 Ratings
2% above category average
SAP Predictive Analytics
-
Ratings
Pixel Perfect reports8.3167 Ratings00 Ratings
Customizable dashboards8.7195 Ratings00 Ratings
Report Formatting Templates8.0178 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
8.0
194 Ratings
0% below category average
SAP Predictive Analytics
-
Ratings
Drill-down analysis8.3191 Ratings00 Ratings
Formatting capabilities7.8191 Ratings00 Ratings
Integration with R or other statistical packages7.4143 Ratings00 Ratings
Report sharing and collaboration8.4189 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.0
187 Ratings
2% below category average
SAP Predictive Analytics
-
Ratings
Publish to Web8.2177 Ratings00 Ratings
Publish to PDF8.1172 Ratings00 Ratings
Report Versioning7.7144 Ratings00 Ratings
Report Delivery Scheduling8.2147 Ratings00 Ratings
Delivery to Remote Servers7.9110 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Microsoft Power BI
7.8
187 Ratings
2% below category average
SAP Predictive Analytics
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)8.2181 Ratings00 Ratings
Location Analytics / Geographic Visualization8.1166 Ratings00 Ratings
Predictive Analytics7.4136 Ratings00 Ratings
Pattern Recognition and Data Mining7.437 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Microsoft Power BI
8.5
178 Ratings
0% above category average
SAP Predictive Analytics
-
Ratings
Multi-User Support (named login)8.7168 Ratings00 Ratings
Role-Based Security Model8.4146 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.4158 Ratings00 Ratings
Report-Level Access Control8.347 Ratings00 Ratings
Single Sign-On (SSO)8.7140 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Microsoft Power BI
8.0
160 Ratings
3% above category average
SAP Predictive Analytics
-
Ratings
Responsive Design for Web Access7.7150 Ratings00 Ratings
Mobile Application7.6131 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile7.9153 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Microsoft Power BI
7.8
115 Ratings
1% above category average
SAP Predictive Analytics
-
Ratings
REST API8.1103 Ratings00 Ratings
Javascript API7.684 Ratings00 Ratings
iFrames8.055 Ratings00 Ratings
Java API7.068 Ratings00 Ratings
Themeable User Interface (UI)7.690 Ratings00 Ratings
Customizable Platform (Open Source)8.444 Ratings00 Ratings
Best Alternatives
Microsoft Power BISAP Predictive Analytics
Small Businesses
Yellowfin
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Score 8.8 out of 10
IBM SPSS Statistics
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Score 8.2 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Kyvos Semantic Layer
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Score 9.5 out of 10
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Score 10.0 out of 10
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User Ratings
Microsoft Power BISAP Predictive Analytics
Likelihood to Recommend
8.5
(197 ratings)
9.0
(3 ratings)
Likelihood to Renew
9.5
(3 ratings)
-
(0 ratings)
Usability
8.3
(113 ratings)
6.0
(1 ratings)
Support Rating
10.0
(52 ratings)
7.0
(1 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Microsoft Power BISAP Predictive Analytics
Likelihood to Recommend
Microsoft
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
Read full review
SAP
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
Read full review
Pros
Microsoft
  • Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
  • Constant updates (this is both good and bad at times).
  • User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
Read full review
SAP
  • It doesn't require you to have a Ph.D. to build models!
  • You can use it to address a very large and wide dataset without worrying about sampling.
  • Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
Read full review
Cons
Microsoft
  • It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
  • Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
  • Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
  • Would like to export each page or chart as an image.
Read full review
SAP
  • Working with this software is very simple and enjoyable for me as [an] IT consultant and expert, but it is a bit complicated for novice users.
  • Some big data takes more time‌to load, which I think could be faster
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Likelihood to Renew
Microsoft
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Read full review
SAP
No answers on this topic
Usability
Microsoft
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
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SAP
the UI is a bit dated and available as a desktop tool mostly.
Read full review
Support Rating
Microsoft
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
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SAP
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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Implementation Rating
Microsoft
It was integrated with our erp easily and was accessible on cloud.
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SAP
No answers on this topic
Alternatives Considered
Microsoft
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
Read full review
SAP
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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Return on Investment
Microsoft
  • Power BI usage reduced the effort of analytical reports creation by about 80%
  • Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
  • AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.
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SAP
  • Proper forecasting increases our credibility with partners and customers
  • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
Read full review
ScreenShots

Microsoft Power BI Screenshots

Screenshot of Microsoft Power BI - Turns insights into impact for business usersScreenshot of Power BI integrates easily with Microsoft 365Screenshot of Microsoft Power BI - AI-Powered CapabilitiesScreenshot of Microsoft Power BI - Copilot can be used to create reportsScreenshot of Microsoft Power BI - Data HubScreenshot of Microsoft Power BI - Scales as organizational needs grow