We performed a comparison between Google Data Studio and Tableau 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."The ability to design complex data models and equations."
"Valuable features include advanced integrated analysis and easy implementation."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"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 find it favorable regarding speed of development, ease of building, and flexibility."
"The solution is free so that is a good feature."
"The ability to integrate with a great variety of data sources."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"The ease of presenting findings is very helpful."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"Its performance is pretty good, and the development time is very low."
"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."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Stability and scalability an be improved for a full ten."
"It's not yet a replacement for a complete BI tool."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"When compared to Power BI, it is less user-friendly."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
Google Data Studio is ranked 14th in Reporting with 8 reviews while Tableau is ranked 2nd in Reporting with 290 reviews. Google Data Studio is rated 7.6, while Tableau is rated 8.4. 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 Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Google Data Studio is most compared with Amazon QuickSight, Looker, Microsoft Power BI, Databricks and QlikView, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo and SAS Visual Analytics. See our Google Data Studio vs. Tableau report.
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