We performed a comparison between IBM Planning Analytics and Microsoft Power BI based on real PeerSpot user reviews.
Find out what your peers are saying about Anaplan, Oracle, Jedox and others in Business Performance Management."The product's stability is good."
"The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized."
"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."
"The most valuable feature is that it is able to slice and dice the data."
"Navigating through the data to make analysis is really quick."
"All the different platforms are well integrated."
"Planning Analytics' best features include automatic updates and slicing."
"IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."
"Like all Microsoft products, it is very easy to set up initially."
"The Microsoft Power BI app is very good. It's also very flexible."
"They should add mobile access."
"The product is user-friendly."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"Microsoft BI's most valuable features are the user interface, which is easy to use and light."
"It's a straightforward setup."
"Microsoft B's beneficial features are that it is a Microsoft product and it is well known by the staff here in the company. It suited the available skills."
"The dashboard is very poor and needs a lot of improvement."
"Extracting data is a little slow."
"The tool's transport layer could be improved when promoting development between environments."
"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."
"It's wonky, and not super user-friendly with Excel."
"It would have been better if the solution was not just a tool kit."
"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."
"The local authentication part is difficult to manage in the product, making it an area where improvements are required."
"It should be more user-friendly. There are very small or tiny icons that you need to move very carefully. If you go a little bit up and down, some of the values change. Its user interface should be improved. It should be like Tableau. Its performance is also slow and should be improved. I definitely feel some sort of speed issues with Power BI. The integration of Excel with Power BI would also be good."
"They are improving it all the time. What would be nice is if they could respond to feature requests more quickly. They can provide faster support for new features."
"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."
"Microsoft BI lacks integration capabilities, so it needs to consider increasing its integration capabilities."
"Capacity could be improved."
"The licensing needs improvement. There needs to be a middle option between Pro and Premium versions."
"Sluggish performance when handling large amounts of data."
"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."
IBM Planning Analytics is ranked 5th in Business Performance Management with 22 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. IBM Planning Analytics is rated 8.6, while Microsoft Power BI is rated 8.0. The top reviewer of IBM Planning Analytics writes "Can easily create dashboards and helps businesses improve forecasting accuracy". On the other hand, 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)". IBM Planning Analytics is most compared with SAP Analytics Cloud, Anaplan, Jedox, IBM Cognos and Oracle Hyperion, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
We monitor all Business Performance Management 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.
