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 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."
"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."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"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."
"The solution is free so that is a good feature."
"The ability to design complex data models and equations."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The solution is user-friendly."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It has the best feature for data augmentation."
"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."
"This is a stable and scalable solution."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Stability and scalability an be improved for a full ten."
"It's not yet a replacement for a complete BI tool."
"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."
"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."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Panels are not as easy to use as other data extraction UIs."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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 interfaces could be improved and some in-memory operations could be built in."
"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 scalability has room for improvement."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
Google Data Studio is ranked 13th in Reporting with 8 reviews while Oracle Analytics Cloud is ranked 9th 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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