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."I like the flexibility it offers."
"In my experience the scalability is good. You are able to increase users and add more data."
"The most valuable features in Microsoft BI are the analysis using the feature drag and drop function. It's very easy to load and use different data sources."
"What I like most is that I can do everything in Power BI that I can do in Excel."
"With Power BI, you're able to store your data within spreadsheets and SharePoints, and then have Power BI pull the data out and report on it. So we actually saved a ton of money not needing to load the data into databases, which is a big prerequisite for many other reporting tools."
"Easy to use and the visualization is valuable."
"The visualization part and its inclusion in a cloud-based application are valuable features."
"The solution is very intuitive, you do not need to have too much programming knowledge to use it. Advanced Excel users can use it very easily."
"The level of interactivity that the product provides is valuable to me."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"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."
"We need more integration capabilities."
"Sluggish performance when handling large amounts of data."
"It should have more integrations."
"The integration in Microsoft BI could improve for other solutions, such as Oracle DB and PostgresSQL. Additionally, the reporting from the databases to Microsoft BI should be in real-time and the overall performance could be better."
"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."
"One of the more difficult things to do is to export some of the data from Power BI to Excel."
"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."
"The cost of the solution can get high."
"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.
