We performed a comparison between Microsoft Power BI and Plotly based on real PeerSpot user reviews.
Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."You don't need much support with Microsoft Power BI because it has such a large base of users who can answer your questions on their forums. There are also many video tutorials and webinars available online that offer solutions to whatever problems you may have."
"The solution is stable."
"Its ease of use is most valuable."
"The feature I find most valuable is the ability to publish Power Bi reports, using an embedded link, directly onto a website."
"Its data visualization provides the user the ability to quickly look at data and focus on relevant information, allowing them to make an immediate decision."
"The way data is presented is very valuable. The amount of information that we can get at a glance is also valuable. You can then drill-down and see data from many different angles in the same chart by selecting certain things. Based on the selection, everything changes automatically. If we have four parameters in a particular item, when you select a parameter, the remaining charts on that page automatically change for that particular parameter."
"This solution has improved our ability in making decisions and explaining data."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"The level of interactivity that the product provides is valuable to me."
"When reviewing and interpreting data, I typically examine it in a tabular form to understand its structure. However, when explaining or presenting the findings to others, I often use visualization tools such as Plotly. These tools allow me to create visual representations of datasets."
"The UI is the main improvement that could be made. Specifically, there is something called DAX, in Power BI, which is complicated compared to calculated fields used in Tableau."
"It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved."
"This solution needs integration with SAS and more deep analysis functionality."
"We would like improvements made to the paginated reports so that it produces quality similarly to SSRS."
"I feel the modeling page should be simplified."
"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."
"The solution could be more customizable and you do not have too much freedom on the code."
"It is getting better but still, there are opportunity areas in some aspects, especially the Windows OS dependency."
"The tool needs to improve its pie charts. Regarding Plotly, I find the online documentation somewhat challenging to navigate, especially when dealing with many parameters. Searching through thousands of parameters can be a tedious and less straightforward process. While the documentation is available online and serves its purpose, I often encounter difficulties in finding the information."
"The solution cannot be deployed on the website and shared with others through its own platform."
"I believe that the prices of the tool's paid services could be on the premium side, so the pricing model can be considered for improvement."
Microsoft Power BI is ranked 1st in Reporting with 297 reviews while Plotly is ranked 16th in Reporting with 3 reviews. Microsoft Power BI is rated 8.0, while Plotly is rated 7.6. 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 Plotly writes "An interactive and easy-to-use solution that can be used to create dashboards". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE, whereas Plotly is most compared with Tableau, TIBCO Spotfire, Qlik Sense and RStudio Connect. See our Microsoft Power BI vs. Plotly report.
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We monitor all Reporting 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.
