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."They should add mobile access."
"What's most valuable in this tool is that it gives its users detailed error messages. It's a very stable data analytics tool, and it offers good scalability."
"The most valuable features are the easy creation of reports, dashboards, and the ability to perform analysis. It is important for us to create reports because we have some operations during certain hours and we can use this tool to track the information."
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"We have found the product very stable and reliable."
"The DAX coding language is good for creating formulae."
"It gives you an edge if you are on the Microsoft platform. If you have been using Microsoft products for a long time or if you have the Microsoft infrastructure, this is the right tool for you. It has seamless integration with Microsoft SQL Server and other sources, and you get the best of the three things (SSIS, SSAS, and SSRS) in one suite."
"It provides good visibility."
"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 did have some issues building the Microsoft blog."
"The solution could benefit by allowing deeper data analytics."
"The only concern I have faced with Microsoft BI is the time it takes to find out an issue and rectify it."
"When I create measures, sometimes the error messages aren't clear. It makes me spend more time searching for solutions. I need the error messages to be more specific. So, I would like clearer error messages when creating measures."
"I would like to see the product offer more graphics to impact different audiences."
"Defining a relationship was very confusing. There were circular directions for which I had to do a lot of adjustments in the data. They can do something to make it easier."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"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."
"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 solution cannot be deployed on the website and shared with others through its own platform."
"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."
Microsoft Power BI is ranked 1st in Reporting with 297 reviews while Plotly is ranked 15th 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.
See our list of best Reporting vendors.
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.
