We performed a comparison between Google Data Studio and Oracle Analytics Cloud 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."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The ability to integrate with a great variety of data sources."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The solution is free so that is a good feature."
"The ability to design complex data models and equations."
"Valuable features include advanced integrated analysis and easy implementation."
"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."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"The advanced calculations by the tool are highly effective"
"The product is easily customized."
"The solution is user-friendly."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"This is a stable and scalable solution."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"Stability and scalability an be improved for a full ten."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"It's not yet a replacement for a complete BI tool."
"This solution could be more adaptable in its application."
"The price of the solution could be lower."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The implementation of generative AI and machine learning should improve"
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"They could improve the ease of developing the dashboard and interacting with it."
Google Data Studio is ranked 12th in Reporting with 8 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 25 reviews. Google Data Studio is rated 7.6, while Oracle Analytics Cloud 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 Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Google Data Studio is most compared with Amazon QuickSight, Tableau, Microsoft Power BI, Looker and QlikView, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Tableau and Oracle Business Intelligence Cloud Service. See our Google Data Studio vs. Oracle Analytics Cloud report.
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