We performed a comparison between Google Data Studio and Plotly 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."Valuable features include advanced integrated analysis and easy implementation."
"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 solution is free so that is a good feature."
"The ability to design complex data models and equations."
"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."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"When reviewing and interpreting data, I typically examine it in a tabular form to understand its structure. However, when explaining or presenting the findings to others, I often use visualization tools such as Plotly. These tools allow me to create visual representations of datasets."
"The level of interactivity that the product provides is valuable to me."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"It's not yet a replacement for a complete BI tool."
"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."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"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 solution cannot be deployed on the website and shared with others through its own platform."
"I believe that the prices of the tool's paid services could be on the premium side, so the pricing model can be considered for improvement."
"The tool needs to improve its pie charts. Regarding Plotly, I find the online documentation somewhat challenging to navigate, especially when dealing with many parameters. Searching through thousands of parameters can be a tedious and less straightforward process. While the documentation is available online and serves its purpose, I often encounter difficulties in finding the information."
Google Data Studio is ranked 14th in Reporting with 8 reviews while Plotly is ranked 15th in Reporting with 3 reviews. Google Data Studio is rated 7.6, while Plotly is rated 7.6. 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 Plotly writes "An interactive and easy-to-use solution that can be used to create dashboards". Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks, whereas Plotly is most compared with Microsoft Power BI, Tableau, TIBCO Spotfire, Qlik Sense and RStudio Connect. See our Google Data Studio vs. Plotly 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.
