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."The interface is very fluid."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"There is a lot of variety in Power BI. In particular, the visuals are quite rich and the feature set has been growing rapidly in the last two years. Possibly the best part for me is that there are a lot of ways to connect with data sources."
"It is very good, and it supports the Microsoft ecosystem, including Excel, etc."
"This product has a lot of features and most of them are user-friendly."
"When we are introducing Microsoft BI to our clients, if they're familiar with Excel, the transition phase will be much easier for them. They can easily switch from Microsoft Excel to Microsoft BI. The core foundation or the base technology is the same in both tools. There are a few limitations in Microsoft Excel, and this is where Microsoft BI comes in."
"Its connection to every database: Whatever and wherever it is."
"We have found the product to be scalable."
"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."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions."
"The dashboard could be simplified."
"It's not really complicated, but I didn't find the things I was looking for. The ones I used to work with within Dash are more open, and there are more choices. But with Power BI, there are only limited types of plots that I can use. For example, when I wanted to put the plots in Power BI, there was no extendable space. You have a limited page where you can place a maximum of three plots in that, and you can't do more than that on a single page. You have to create a new page, a different page for that. That made it a bit annoying, and the filtering part is limited, with basic functions. If you want to make custom filtering or custom functions, you can't do that."
"The mobile app is very poor."
"I would like to be able to use more predicting data science features without having to use R."
"The only challenge I have found is that they do not have a Mac version."
"Microsoft BI lacks some of the scheme features. It would be beneficial if there were a way to show how we move values in a different way."
"The reporting could be a bit better."
"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."
"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."
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, RStudio Connect and Qlik Sense. 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.
