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.
$168
per year per user
SAP Analytics Cloud
Score 8.2 out of 10
N/A
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
Sisense
Score 7.4 out of 10
N/A
Sisense is a BI software and analytics platform. With what the vendor calls their In-Chip™ and Single Stack™ technologies, users have access to a comprehensive tool to analyze and visualize large, disparate data sets without IT resources.
N/A
Pricing
Microsoft Power BI
SAP Analytics Cloud
Sisense
Editions & Modules
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI
SAP Analytics Cloud
Sisense
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
Cost-effective but has a lot of features to offer. The perfect tool to build reports and dashboards with a large amount of data and complex data modeling. End users do not require much knowledge to get used to the tool. Regular updates from Microsoft to add new features and has …
Microsoft BI tool does a better job than most of the other software. The reason is excellent visualizations and its capability to connect with various other software and data sources. Tableau does a better job when it comes to tutorials and being more user-friendly. Also …
Like i mentioned earlier, SAP Analytics Cloud is the tool where SAP brought everything together at the right time starting with AI and planning capabilities. With evaluation of different tools for dashboard, this is where SAP made the right decision and this is the tool that is …
SAP Analytics Cloud blends data much better than Mircosoft Power BI because it uses one large dataset in its model instead of the entity-relationship model in Power BI. Everything in Power BI has to be done in the model, which diminishes its capabilities. SAC also has data …
Anaplan is a tool for planning, but with very less reporting options. Integration of Anaplan with SAP source is always a problem and has very less connection possibilities. Even though Anaplan provides very powerful planning features, we have to use multiple tools in the …
I would rate Tableau as number one choice due to intuitive, drag and drop and advanced visualizations. We can build highly customizable reports. Whereas SAP Analytics Cloud(SAC) got less customizable reports but excellent with SAP systems, strong in planning and budgeting tools.
Integration with SAP is the key feature to go for SAC with perks of SAP IQ etc offered from SAP. Usability is quite eased in SAC - makes it easy for users to use and develop their own dashboarding. Cloud is one more feature which enables to the cloud world from SAP and probable …
we have to explicitly publish our data in the form of odata service from SAP system, this require a good amount of work for API development and requirement of SAP Developer skill set. With SAP Analytics Cloud (SAC) this is not needed and the adoption of SAC becomes very easy
All three above examples are market leaders, being an sap consultant and as SAP Analytics Cloud is having tight integration with sap and offers fairly all the important features i use it.
Since we have S4/Hana cloud so accessing data from backend system is seamlessly done in SAP Analytics Cloud with the help of SAP Analytics Cloud cloud connector. We have BI/BW system. Data is loaded into this systems and fetch on SAP Analytics Cloud.
SAC lacks some of the prominent features found in other tools. But a fully functional tool. The way live connections work with SAC and better integration with SAP back-end products makes SAC a preferred choice.
SAC is an extension of our decision to use Datasphere as our Data Warehouse / Data Fabric Solution, which is really an extension of our decision to use SAP as our ERP.
Because the connectivity is natural and is easy to work and develop everything behind the same brand. Also is easy to have all the data under control on this software and easily consume in SAP Analytics Cloud Review. As I said, great advantage of using sap that means all are …
Each tool has strengths, but Sisense stands out for its ease of use, scalability, and robust data integration. We chose Sisense for its balance of robust functionality and ease of use. We are happy that it can handle complex data integrations that aligned perfectly with our …
Sisense truly stacks up against Power BI, Domo or Tableau as one of the most accurate data analysis applications that offers an intuitive approach to data exploration. You can use its web-based interface to tap the expertise of your data analytics team. They can build and share …
Sisense worked out of the box, there was a lot of setup with the other 3. Out of the 3 others Board's was the only one that connected to Salesforce without a problem like Sisense. Sisense pricing destroyed the other 3 as well.
Sisense does very well against most of the tools in the market. We chose this tool because of its great visualizations and easy to deploy procedures. The reports are very easy to generate and distribute them across departments and organization. It provides a great interface to …
Before purchasing Sisense and began recommending it as a solution to our clients, we tested four other BI visualization tools. All four of these ranked high on the Gartner Magic Quadrant. We researched Domo, Looker, MS Power BI and Tableau. Looker could be a better solution if …
Verified User
Analyst
Chose Sisense
I've used a few different analytical engines over the last few years and none have the efficient ability as both a data manager and a dashboarding tool - usually, other platforms excel in one area or another. To expand further, tools that succeed in data management and …
Sisense can't compare to any tool for the ease of user, intuitive interface and "time to data". I gave been working with both large enterprise and small SMB's using Sisense, and it is amazing to see how small companies quickly learn how to use it and how practical and efficient …
Features
Microsoft Power BI
SAP Analytics Cloud
Sisense
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.2
198 Ratings
0% above category average
SAP Analytics Cloud
7.8
324 Ratings
5% below category average
Sisense
9.7
47 Ratings
17% above category average
Pixel Perfect reports
8.2169 Ratings
7.5273 Ratings
10.037 Ratings
Customizable dashboards
8.7197 Ratings
8.2315 Ratings
10.047 Ratings
Report Formatting Templates
7.8180 Ratings
7.7291 Ratings
9.033 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
7.9
196 Ratings
2% below category average
SAP Analytics Cloud
7.8
329 Ratings
3% below category average
Sisense
8.8
47 Ratings
9% above category average
Drill-down analysis
8.3193 Ratings
8.1319 Ratings
10.047 Ratings
Formatting capabilities
7.7193 Ratings
7.6316 Ratings
9.047 Ratings
Integration with R or other statistical packages
7.4143 Ratings
7.0239 Ratings
9.027 Ratings
Report sharing and collaboration
8.3191 Ratings
8.3306 Ratings
7.33 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.0
189 Ratings
3% below category average
SAP Analytics Cloud
7.7
310 Ratings
6% below category average
Sisense
10.0
46 Ratings
20% above category average
Publish to Web
8.1179 Ratings
7.9264 Ratings
10.036 Ratings
Publish to PDF
7.9174 Ratings
8.1296 Ratings
10.046 Ratings
Report Versioning
7.7145 Ratings
7.7256 Ratings
10.024 Ratings
Report Delivery Scheduling
8.3148 Ratings
7.7251 Ratings
10.039 Ratings
Delivery to Remote Servers
7.9111 Ratings
6.942 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
I believe Sisense is perfectly suited for any organization of any size that have access to the proper resources, as the tool is very expensive. The data connectors come in all shapes and sizes out of the box, which allows a great deal of data control within the ElastiCubes. Additionally, while the platform only runs on Windows platforms, the web application can be accessed on any client: mobile, Apple, Windows, etc. This allows a much more flexible user experience, resulting in data and dashboards reaching further than any other tool.
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.
It makes it easier yo analyse order and related records easily.
We can easily maintain and track the performance of employees in organisation.
Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
The usability of the application on mobile devices needs some improvement, especially navigation and filtering.
Dashboards that are created by multiple users can be a bit of a hassle to share by Admins.
If you need to embed dashboards into your website, you are require to buy a license separate from the user and platform license. This is a norm on most BI visualization tools, but Sisense can seem a bit on the high side, cost-wide.
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.
We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
I think the business and myself as a user has come to rely on SiSense as a dashboarding and quick ad-hoc reporting tool. I am hoping to integrate SiSense dashboards into more parts of the business in the future. We have reduced our report turn-around time for the most part from hours/days to minutes and in some cases almost the speed of thought. Reports are also easier on the eye and more easily distributed. I would also like to say that the support and professionalism from the SiSense team has been excellent.
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.
On a scale of 1 to 10, I would rate 8 SAP Analytics Cloud's overall usability as a 7. SAC has a clean, modern user interface with drag-and-drop features. It is an integrated platform that combines reporting, planning, and predictive analytics in one tool. It has Real-time connectivity with SAP data sources like S/4HANA.
Self-service analytics capabilities allow non-technical users to build simple dashboards.
New V5 is ground floor of an exciting collection of possibilities. Weekly Sisense developers come up with new functionality that they share with us in their forums. The move to HTML5 has been pleasing in that widgets auto size themselves into appropriate forms in the board but everyone of them can be popped out to full page size to be looked at in more detail
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
There are very few situations when there is unexpected downtime. Mostly during development, new dashboard implementation and during upgrades. other then that there were very few crashes.
I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
SiSense is usually performing better then other solutions even if going for complex reports/dashboards(of course within reasonable frames). I haven't noticed any bad influence on other systems, usually if something happens it stays within SiSense.
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.
Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
SiSense's support ninjas are very knowledgeable and are exceptionally responsive. So far, all of the issues we ran into were resolved within minimum time. My sense of dealing with the support staff at SiSense is that they are very focused on not just answering your immediate question, but also to delve into the cause of the matter.
Easy and free training that allowed us quickly understand basics in SiSense and start using them. More advanced features requires some browsing through SiSense forums, but there is always support to help, and SiSense support is one of the best whith which I worked so far.
In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online
Many examples, videos and scenarios which you try on your own right away. This combined with in-person training gives you enough to utilize most of SiSense's power.
SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
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.
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
1) Easy to use, really, there is nothing too much to say. The set up is easy and not confusing. You can use it internally or externally.
2) Customer Service, having spoken to various product reps from similar industry. Sisense rep provides you with the best support to get started, and it is really appreciated.
Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.
Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
We now have more insight into the data, and people with little technical experience can easily build stories.