We performed a comparison between Google Data Studio and Sisense 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."
"The solution is free so that is a good feature."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"Valuable features include advanced integrated analysis and easy implementation."
"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."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"Ability to work with very large data sources without the limitations of Excel."
"Allows users to build their own solutions without as much reliance on technology staff."
"I have found the dashboard creating feature helpful."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"No issues with stability. It is a very stable solution."
"Visually displaying data."
"A very simple setup: Easy to download, install, and updates are pain free."
"It has allowed me to move my data to the cloud."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Panels are not as easy to use as other data extraction UIs."
"It's not yet a replacement for a complete BI tool."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"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."
"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."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"The solution's setup process could be easier."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."
Google Data Studio is ranked 14th in Reporting with 7 reviews while Sisense is ranked 13th in Reporting with 39 reviews. Google Data Studio is rated 7.8, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight. See our Google Data Studio vs. Sisense 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.