We performed a comparison between Microsoft Power BI and Yellowfin based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Helped identify bad data, enabling the corrections needed to the data for management."
"It is quite easy to use and it helps me to achieve the projects that I've been assigned."
"The virtualization of Microsoft BI is very good."
"We like the drag and drop interactability visualization. We really like that. It's user-friendly."
"The flexibility of the program is valuable. We are able to add other information to the reporting information and expand upon it."
"The data can be accessed from anywhere."
"The most valuable features of Microsoft BI are the variety of possibilities to connect to various data sources. The visualizations are easily done, have useful rollover functions, and there are continuous updates being made to the system. You can benefit from the various improvements."
"Technical support is quite good."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is a central source of up-to-date data and information."
"It is able to create information dashboards for various users' throughout."
"It is not the right tool to do deeper analysis or predictions. When you have some data and you want to do some deep analysis, there is no feature to help you with this."
"The licensing needs improvement. There needs to be a middle option between Pro and Premium versions."
"The setup took a lot of tinkering with InfoSec to allow us to do stuff."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"It is too slow. I hope in future it will be a comparable big data tool, such as, for example, Data Lake."
"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."
"Microsoft Power BI was born native on the cloud, however, it's quite difficult when it has to connect to on-premise data sources."
"It needs more presentation/charting capabilities and integration with GIS."
Earn 20 points
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while Yellowfin is ranked 36th in BI (Business Intelligence) Tools. Microsoft Power BI is rated 8.0, while Yellowfin 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 Yellowfin writes "Very scalable design and easy to implement. It can reside alongside more complex enterprise systems". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE, whereas Yellowfin is most compared with Apache Superset, 9 Spokes and Tableau. See our Microsoft Power BI vs. Yellowfin report.
See our list of best BI (Business Intelligence) Tools vendors and best Reporting 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.
