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."
"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."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to integrate with a great variety of data sources."
"The solution is free so that is a good feature."
"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 ability to design complex data models and equations."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The solution can scale."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data 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 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 specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"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."
"A valuable feature is the speed of the solution."
"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."
"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."
"Stability and scalability an be improved for a full ten."
"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."
"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."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
"The solution could be more flexible."
"The interfaces could be improved and some in-memory operations could be built in."
"This solution could be more adaptable in its application."
"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."
"It is less scalable than Snowflake."
"The scalability has room for improvement."
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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