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."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."
"Valuable features include advanced integrated analysis and easy implementation."
"The ability to design complex data models and equations."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The most valuable feature is the aggregation function."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"Tableau is easy to use and it has great predictive features."
"The most valuable features are the visualizations, the way they show the combination charts."
"The initial setup is simple."
"Compared to other products, visualization features are really good."
"I love the customization skills that Tableau has, it is not restricted to what is built-in already."
"The most valuable feature is the user experience."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"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."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Stability and scalability an be improved for a full ten."
"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."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"With performance tuning, it generates a pretty complex query when it is not required."
"When there are millions of records, scaling up is quite difficult."
"When compared to Power BI, it is less user-friendly."
"The data processing in Tableau is pathetic compared to Qlik."
"Licensing and pricing options could be made better so that more users would be able to use it."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
Google Data Studio is ranked 13th in Reporting with 8 reviews while Tableau is ranked 2nd in Reporting with 293 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, Microsoft Power BI, Looker, QlikView and Databricks, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight and SAS Visual Analytics. See our Google Data Studio vs. Tableau report.
See our list of best Reporting vendors.
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.