We performed a comparison between Google Data Studio and Microsoft Power BI 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 find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to integrate with a great variety of data sources."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The ability to design complex data models and equations."
"The solution is free so that is a good feature."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"Very intuitive and easy to use."
"It's similar to Excel, but it's much more powerful than Excel."
"The ease of integration and connectivity stands out as the most critical aspect, followed closely by the flexibility to customize reports and dashboards."
"The solution is easy to use."
"Technical support is quite good."
"The dashboards of Microsoft BI are easy to use."
"Its visualizations and dashboards are most valuable. Power BI is great in terms of visualizations and dashboards. The reports that we previously had were not very nice in terms of visualization. It also provides the ability to play with the data."
"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."
"Stability and scalability an be improved for a full ten."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Panels are not as easy to use as other data extraction UIs."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"It's not yet a replacement for a complete BI tool."
"Microsoft BI lacks integration capabilities, so it needs to consider increasing its integration capabilities."
"I would like for there to be some type of user manual that shows steps on how to navigate the solution."
"The upgrade process could be improved."
"They can improve it in terms of rule-based security. Currently, it has very limited rules."
"It needs more analytic tools."
"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."
"It should be easier to use when there are multiple system sources."
"Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality."
Google Data Studio is ranked 13th in Reporting with 8 reviews while Microsoft Power BI is ranked 1st in Reporting with 297 reviews. Google Data Studio is rated 7.6, while Microsoft Power BI is rated 8.0. The top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". 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)". Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, QlikView and Databricks, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE. See our Google Data Studio vs. Microsoft Power BI 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.