We performed a comparison between Oracle Analytics Cloud and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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."
"It has the best feature for data augmentation."
"The best feature may be data flow, which is used to prepare and clean data."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"A valuable feature is the speed of the solution."
"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."
"The most important feature in Tableau is visual analytics."
"The most valuable features of the solution are the permission management and the user management."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"The platform's most important feature is predictive analysis."
"The best part about Tableau is the visualization."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"The interfaces could be improved and some in-memory operations could be built in."
"Its FAW feature has limitations in terms of usage."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"It is expensive."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"Its integration with Microsoft products such as Teams should be improved."
"The performance could be better."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"There are not enough language options. It needs to be offered in more than just English."
Oracle Analytics Cloud is ranked 6th in Data Visualization with 23 reviews while Tableau is ranked 1st in Data Visualization with 290 reviews. Oracle Analytics Cloud is rated 8.0, while Tableau is rated 8.4. The top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Oracle Business Intelligence Cloud Service and Qlik Sense, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Oracle Analytics Cloud vs. Tableau report.
See our list of best Data Visualization vendors and best BI (Business Intelligence) Tools vendors.
We monitor all Data Visualization 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.