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 am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"Valuable features include advanced integrated analysis and easy implementation."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The ability to integrate with a great variety of data sources."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"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."
"The ability to design complex data models and equations."
"The flexibility of the program is valuable. We are able to add other information to the reporting information and expand upon it."
"The most valuable feature is integration with Python."
"Technical support is quite responsive."
"We like the drag and drop interactability visualization. We really like that. It's user-friendly."
"This solution has improved our ability in making decisions and explaining data."
"We are able to collaborate on things and get insightful data visualizations."
"When we are introducing Microsoft BI to our clients, if they're familiar with Excel, the transition phase will be much easier for them. They can easily switch from Microsoft Excel to Microsoft BI. The core foundation or the base technology is the same in both tools. There are a few limitations in Microsoft Excel, and this is where Microsoft BI comes in."
"The good part of it is that you can do whatever you want with it when it comes to building BI. In terms of languages, it supports Python, and it also natively supports R."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Stability and scalability an be improved for a full ten."
"It's not yet a replacement for a complete BI tool."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Panels are not as easy to use as other data extraction UIs."
"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."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"The handling of the workspaces can be made more granular for user access rights. It can be managed a little bit better in terms of the connection to Active Directory so that we have more granular access rights. I am not sure if this is really possible or if we can solve it differently, but we need a lot of workspaces, and we are not sure how we can deal with it from the access rights perspective."
"Microsoft BI lacks some of the scheme features. It would be beneficial if there were a way to show how we move values in a different way."
"It should be easier to use when there are multiple system sources."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"It should be more user-friendly and simple."
"We would like to have better SQL support for queries."
"The challenge of this product is in truncating the table data."
"I have a little problem with Synapse Analytics because it's very new. It's a product that has many capabilities, but it is not very well developed. I have to see the list of permissions from one object. I can't do this in Synapse. I have to search on the web for a solution because I don't have the tool for it."
Google Data Studio is ranked 12th 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.
