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
QlikView
Score 8.2 out of 10
N/A
QlikView® is Qlik®’s original BI offering designed primarily for shared business intelligence reports and data visualizations. It offers guided exploration and discovery, collaborative analytics for sharing insight, and agile development and deployment.
N/A
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
Pricing
Microsoft Power BI
QlikView
SAP Analytics Cloud
Editions & Modules
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
QlikView
Custom
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
Offerings
Pricing Offerings
Microsoft Power BI
QlikView
SAP Analytics Cloud
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
Optional
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.
On an perpetual license basis, based on server plus number of users.
Contact vendor for pricing.
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.
As mentioned earlier, Power BI is not as mature as QlikView or Tableau and, as a result, is more limited in the kinds of things it's capable of. That said, it's still highly capable of fulfilling most typical BI dashboard requirements. We chose Power BI partly because of a very …
Power BI, Tableau, and QlikView are the market leaders when analyzed on Gartner`s magic quadrant for business intelligence tool. One of the critical drawbacks of all these visionary tools is the absence or expensive back end that are needed to support the infrastructure. …
It has more than 200 plus visuals in-store and is very easy to access. It has a great user community to help each other with an ample amount of responses. Almost all kinds of data sources are available to use and develop the reports Easy to use and learn with a lot of training …
Global Digital Operations Manager - BA Electrification
Chose Microsoft Power BI
Power BI was perfectly integrated in our Microsoft ecosystem what makes everything easier also, the fast evolution that has happened over the last years and their reaction to our needs is something that makes the differents. They listen to the customer and as they do a lot of …
Microsoft Power BI has better pricing, better features in the trial version. Power BI is also integrated with other Microsoft products, so you can publish dashboards to SharePoint pages and to Teams. Power BI is also the easiest to use. It has more wizards and all the pop-ups …
Microsoft Power BI was a little more expensive when comparing it to the competition, but it also offers a lot more options and is more flexible as well. Also, the quality and appearance of the reports and charts was more good looking and aesthetically pleasing than the other …
Power BI does not have the feel of a fully independent and robust BI Solution. It tackles smaller functional or department-level analytic needs and can operate in a small or solo roll-out environment. But scaling up to enterprise would be better suited for Qlik or Tableau. Same …
We selected Microsoft Power BI because it has the best GUI and easy-to-use interface. As part of Microsoft suite, it has the same structure as Office 365 solutions, therefore making it easier to get onboard. At the same time, having backend solutions from Microsoft such as …
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 …
Power BI takes it to another level with the report and dashboard designing for a wide variety of purposes, and always gives you the option to be collaborative within their native sync features, that is also an advantage to set things up, for example, to promote reports into …
Much easier learning curve and integration with Microsoft Office gives it a leg up. People not knowing they have it, believe it or not, is limiting it's usage. Microsoft really needs to market it!
Power BI is a lot easier to use. The designs are also much nicer. Costs to implement Power BI (minus the existing data infrastructure) is much lower than other tools commercially available. However, the tool is still relatively new and still lacks many common features that …
As mentioned earlier it is free of cost and easy to learn as it is part of the Microsoft suite product. It blends well with ETL package tools such as SSRS and SSIS. It is also easy to distribute the dashboard to users of Office 365. It is a a complete Microsoft product which …
QlikView seems somewhat legacy compared to Microsoft Power BI, with more options to customize and format dashboards with a more enhanced look and feel. QlikView was already widely used in our organization before I came on board and was widely adopted as the single source of …
Each tool has their own pros and cons; QlikView works well for our needs at this time.
Verified User
Executive
Chose QlikView
I think it all comes down to personal preference and integration compatibility with the existing systems in the organization. However, I would argue that Qlik and PowerBI are the top-tier available solutions due to robust features and capabilities, and I would put solutions …
MS Power BI and other BI tools have similar functions to QlikView and some of them also have much cheaper price. However, the strength of QlikView is that it is much easier to use and to learn. If you need to train a new person to learn the tool, it costs around 1-2 days.
QlikView has its own data warehouse, which is the most important reason why would I choose QlikView over any other tools. Apart from that, the feature options are good for the ones who know the tool well but created a steeper learning curve in the beginning. Once you went …
Qlik was less intuitive than Paxata, but less expensive than either microstrategy or PowerBI. Qlik has enough breadth to accommodate most use cases without breaking the bank.
Power BI is cheaper, but more basic. Tableau is more expensive, but with greater capabilities. I feel like the other two are a little more intuitive. My company had Qlikview when I arrived.
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 …
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
Sales data validations have helped manage our justifications in the past, especially with regard to new product development and new business introduction. It has also been helpful in identifying trends with business impact and direction specific to quarter and monthly sales from ERP data as well as decisions to purchase equipment of staffing based on run rates and product demand.
One thing that can get out of hand is data output - if you aren't careful in your query, you may be overloaded with data dumps and drown in the amount of info you have to filter through. This is a user caution, not a comment on the software itself.
>> 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.
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.
We found that QlikView can be a bit slow in supporting some forms of encryption. It is web-based and we needed to upgrade all of our server to not support the older SSL and TLS 1 protocols, only support TLS 1.2 and TLS 1.3. However, QlikView could not run with TLS 1.2 and TLS 1.3. We had to wait over six months to get a version that would handle the newer TLS versions.
There are so many options with QlikView that you can get lost when developing a visualization. There are still items I have not yet figured out, such as labeling a graph with the name of a selected detail item.
QlikView works by pulling the data it is going to use for visualization into its database. I am a security reviewer and I need to make certain that PII and PHI is not pulled by QlikView for a visualization, otherwise this could become a reportable indecent.
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.
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.
Ease of use, ability to load from pretty much any data source. today I created an application that loaded time sheets from excel that are not in a table format. With Qlik's "enable transformation steps" I was able to automate loads of multiple spreadsheets and multiple tabs easily. Could not do that with any other tool.
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.
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.
QlikView is very easy to implement. The installation is very straight forward. QlikView has several different data connectors that can connect to different data sources very smoothly. The user interface to build the reports is very easy to understand. This helps to have a smaller learning curve. Something very helpful is that QlikView is a browser application for the end users. So, you don't need to install any applications on the user's computer.
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.
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.
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
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.
My experience with the Qlik support team has been somewhat limited, but every interaction I have had with them has been very professional and I received a response quickly. Typically if there is a technical issue, our IT team will follow up. My inquiries are specific to product functionality, and Qlik has been very helpful in clarifying any questions I might have.
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.
My team attended, but I cannot myself rate, but I think it was good as they've successfully launched a training program at our company themselves for users. It was 3-4 day training.
Training was as expected. The demo environments tend to be more fully featured that our own environment, but the training was clear and well delivered.
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
"Implementation" can mean a few things... so I'm not sure that this is the answer you want.... but here it goes: To me, implementation means: "Is the user interface intuitive and can I produce meaningful reports with ease?" On that score, I'd say YES. The amount of training required was minimal and the results were powerful. The desktop implementation is a simple, "blank" interface just waiting for your creativity. The pre-populated templates give you a reasonable start to any project -- and a good set of objects to "play around with" if you're just getting started. Finally, note that the "implementation" I used was baked into QuickBooks 2016 Enterprise -- called "Advanced Reporting"..... That integration makes it ultra useful and simple.
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.
The only other vendor product that I have worked with that provides a similar experience to Qlikview is Tableau. I would recommend Tableau if your use case is to build a fixed dashboard. You can share reports for free without needing to buy additional licenses. I would recommend Qlikview if your users are looking for a more interactive experience. They can create new objects to represent the data which can't be accomplished as easily in Tableau
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
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.
You can use the free desktop version to do a lot of reporting and analysis work more quickly so the ROI is huge
QlikView is great at finding outliers such as data entry errors
QlikView is great at helping you quickly discover new insights about your business that can prompt you to take action that can immediately affect your cash flow.
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.