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."This is a stable and scalable solution."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It's great for consolidation and creating one source of truth."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The ability to quickly search for and access relevant data is crucial."
"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."
"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."
"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 solution has improved insights into quantitative data."
"I have found Tableau easy to use and the features are superb."
"Easy for beginners to use"
"It is a very stable product. It doesn't break."
"I like the visualization component."
"The maps and colors and interface are all fantastic."
"The solution deployment was straightforward."
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"They could improve the ease of developing the dashboard and interacting with it."
"The price of the solution could be lower."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Its FAW feature has limitations in terms of usage."
"When you implement the product on a small scale, it doesn't generate any ROI."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"This solution could be more adaptable in its application."
"It is less scalable than Snowflake."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"The price could be better."
"A strict security measure is needed. I believe it is weak in terms of security."
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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