We performed a comparison between Alteryx and Microsoft Power BI based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is easy."
"Good data transformation."
"It's super easy to learn how to use it — the learning curve is very small."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"Technical support is very helpful."
"Its initial setup is easy."
"The cloud deployment ensures it scales easily."
"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"The solution is very easy to use."
"The solution is easy to use."
"It provides easy integration with Office tools."
"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."
"Technical support is quite good."
"I also find connecting to different data sources is quite simple. Other solutions we were using before were complicated."
"The solution is easy to use and flexible."
"The scalability is good. We have 20 people in my organization using this solution and plan to increase usage."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"The solution can be quite complex in some aspects."
"Alteryx could be improved in the area of analytics and central governance."
"The interface could be improved."
"It is a little bit pricey."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"One of the more difficult things to do is to export some of the data from Power BI to Excel."
"I would like to see more visualization options."
"Compared to other applications, like Tableau, Microsoft BI doesn't have as many functions that allow you to do more in-depth analysis and represent the findings."
"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."
"There is no specific area that I have a problem with. It's just that, with whatever feature you come across, every visual has its own formatting and behavior. What you get in one visual for a feature, you don't seem to get in another."
"There needs to be improved guidance and documentation for the initial setup of Power BI as it currently remains complex."
"It seems that the solution could use more analytics to help users draw more contextual business insights. Right now, you need other solutions for that."
"The solution could benefit by allowing deeper data analytics."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Alteryx is rated 8.4, while Microsoft Power BI is rated 8.0. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". 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)". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Qlik Sense, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE. See our Alteryx vs. Microsoft Power BI report.
We monitor all Predictive Analytics 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.
