

Microsoft Power BI and SAP Analytics Cloud compete in the business intelligence and analytics category. Based on the comparison, Microsoft Power BI seems to have an edge due to its integration capabilities within the Microsoft ecosystem and its accessibility to small and medium-sized businesses.
Features: Power BI provides robust integration with Microsoft tools like Excel and SharePoint, supports data visualization, and allows easy integration with multiple data sources. Its interactive interface makes it accessible for users at various skill levels. SAP Analytics Cloud offers a comprehensive BI solution combining planning, reporting, and predictive analytics powered by AI and machine learning, although integration with non-SAP products might be more challenging.
Room for Improvement: Power BI users often request more intuitive interfaces, better real-time data processing support, and improvements in DirectQuery connector support. Enhancements in graphical report features and pricing models for small businesses are also suggested. In contrast, SAP Analytics Cloud could improve third-party system integration, real-time functionalities, and reduce licensing costs while expanding advanced visualization and predictive analytics capabilities.
Ease of Deployment and Customer Service: Power BI offers flexible deployment options in public, private, and hybrid clouds, known for straightforward deployment and extensive community support. SAP Analytics Cloud is primarily deployed in the public cloud with hybrid options, offering a seamless experience for SAP users. Both have well-rated customer service, with Power BI benefiting from a larger online community.
Pricing and ROI: Power BI provides competitive pricing with flexible plans, making it suitable for small to medium businesses with strong ROI, particularly for small teams. SAP Analytics Cloud is perceived as having a higher cost, justifiable by its capabilities and SAP integration benefits, providing significant value for businesses already investing in SAP tools despite the premium cost.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.
| Product | Market Share (%) |
|---|---|
| Microsoft Power BI | 9.4% |
| SAP Analytics Cloud | 2.2% |
| Other | 88.4% |

| Company Size | Count |
|---|---|
| Small Business | 135 |
| Midsize Enterprise | 57 |
| Large Enterprise | 165 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
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.
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