We performed a comparison between Oracle Analytics Cloud and Tableau based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 technical support services are good."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"It's great for consolidation and creating one source of truth."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
"The ease of presenting findings is very helpful."
"The most valuable feature is the aggregation function."
"I have found the solution easy to use and the interface is very good."
"I have found Tableau easy to use and the features are superb."
"It is an excellent tool for data capture, processing, and visualization."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"The scalability has room for improvement."
"Its FAW feature has limitations in terms of usage."
"This solution could be more adaptable in its application."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"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."
"There are more than a powerful tool in the market, such as Microsoft BI."
"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."
"Lacks customization in some areas."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"The pricing is a bit expensive."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 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 SAP Analytics Cloud, 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 BI (Business Intelligence) Tools vendors and best Data Visualization vendors.
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