We performed a comparison between Microsoft Power BI and Sigma based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Power BI is a complete ecosystem. It has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL. There are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps. Power BI now has integration with Power Query, which has an AI feature for text analytics. Text analytics is a very good feature. This feature is also there in Tableau, but I like it in Power BI because you can write something like, "What is the total sale in the Eastern region?", and it will give you the answer. For example, when you have different types of user opinions, you just run one algorithm and you will have the output that provides the number of positive and negative responses. You can even have a dashboard with positive remarks. This feature has been introduced recently. Power BI supports the DAX and Power Query M languages. These languages are making Power BI very strong in data analytics, and you can do many types of analysis."
"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."
"The product is user-friendly."
"The tool is very flexible so it allows creativity."
"The initial setup is pretty straightforward."
"Its visualization capabilities are pretty good. It is very easy to use. You can easily make your dashboard."
"It's a straightforward setup."
"Provides data feeds for enterprise KPI reporting."
"The tool's interface is easy to use. The functions listed as a part of the menu items are easy to use."
"The most valuable aspect for me is having real-time data."
"Sigma is a great software for non-technical business users. If someone's familiar with pivot tables or Excel or Google Sheets, they should be able to pick up Sigma pretty quickly. There is a very low bar for onboarding."
"I think that the solution is harder to use for people who are not experts in data."
"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."
"I think because I'm moving more into RPA, I'd definitely like to see integration across the RPA, Power BI, or Tableau platforms, because that integration could then make automation and mundane reporting much faster."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
"Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization. It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go."
"The maps in Power BI could be improved. You deal with many maps over the years, like maps of America and Saudi Arabia. The maps aren't detailed enough, and there aren't enough visualization tools. Whenever I want to use a map, I struggle with choosing the right visualization."
"Integration with products that are not Microsoft could be more improved."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"I would like to see better visualization options. That would allow me to build out more visually pleasing dashboarding in Sigma."
"The product's roadmap regarding introducing new features in the solution or new versions of the tool can be made better in the future."
"The only minor area for improvement lies in handling highly complex visualizations."
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while Sigma is ranked 18th in BI (Business Intelligence) Tools with 3 reviews. Microsoft Power BI is rated 8.0, while Sigma is rated 9.4. 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 Sigma writes "Streamlines reporting; like Excel on steroids ". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE, whereas Sigma is most compared with Tableau, Apache Superset, Hex, Amazon QuickSight and Domo. See our Microsoft Power BI vs. Sigma report.
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The two are similar, it is cars but of different brands; I ask 1-) the users use Windows 2-) you have Office 365 3-) They will use Excel for the data. If you answer yes to the 3, better BI due to integration, and learning is easier for the user. If they are non-Microsoft databases, investigate on the provider's side, for example, SAP, IBM, etc. I have trained end users in Power BI. I know that Power BI has the majority of connectors. I hope my comment is helpful. Regards