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."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."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to design complex data models and equations."
"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."
"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."
"The ability to integrate with a great variety of data sources."
"The best feature may be data flow, which is used to prepare and clean data."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The advanced calculations by the tool are highly effective"
"It's great for consolidation and creating one source of truth."
"The solution can scale."
"The product is easily customized."
"The technical support is excellent, and they respond quickly."
"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."
"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."
"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."
"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."
"Panels are not as easy to use as other data extraction UIs."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"The implementation of generative AI and machine learning should improve"
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"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."
"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 could benefit from increased flexibility compared to other vendors."
"The interfaces could be improved and some in-memory operations could be built in."
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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