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 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."
"The solution is free so that is a good feature."
"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."
"Valuable features include advanced integrated analysis and easy implementation."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The ability to design complex data models and equations."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"This is a stable and scalable solution."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The product is easily customized."
"The most valuable features of the solution are dashboarding and data visualization."
"It has the best feature for data augmentation."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"It's not yet a replacement for a complete BI tool."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"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."
"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."
"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."
"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."
"This solution could be more adaptable in its application."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"It is less scalable than Snowflake."
"It is expensive."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"They could improve the ease of developing the dashboard and interacting with it."
Google Data Studio is ranked 14th in Reporting with 7 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews. Google Data Studio is rated 7.8, 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, Looker, Microsoft Power BI and Databricks, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Google Data Studio vs. Oracle Analytics Cloud report.
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.
