We performed a comparison between Dundas BI and Oracle Analytics Cloud 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."We have now the ability to create interactive and complex reports without the need for software developers and code."
"We use Dundas to report on machine sensor data and create dashboards."
"With Dundas BI, you have a lot of visualization choices, and you can also do customizations by using HTML coding and JavaScript. The ease of development was one of the main factors for going for Dundas BI. The client had different reporting tools, but they wanted something that could accommodate all requirements."
"The solution has a good drag-and-drop feature for creating dashboards."
"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."
"It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI."
"It has the best feature for data augmentation."
"The solution can scale."
"The best feature may be data flow, which is used to prepare and clean data."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"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."
"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 plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"I cannot select a visualization and see what filters are connected to it."
"I would love to see more functions built in inside the application, instead of being scripted. They already did some of that in the new release, version 5, like forecasting, trend lines, etc., and I would love to see more of these kinds of calculations, which we used to do it by scripts before."
"It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards."
"Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart."
"For every object, references are generated, but sometimes, there was a problem with the references overlapping each other. Everything would go off. It would stop working, and then from the admin side, people had to do something to bring it up again."
"Lacks sufficient online support."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"It is expensive."
"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."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"They could improve the ease of developing the dashboard and interacting with it."
"The price of the solution could be lower."
"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
Dundas BI is ranked 15th in Data Visualization with 21 reviews while Oracle Analytics Cloud is ranked 6th in Data Visualization with 23 reviews. Dundas BI is rated 8.6, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Dundas BI writes "Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult". 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". Dundas BI is most compared with Microsoft Power BI, Tableau, Logi Analytics, Angles Professional and Salient, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Databricks, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Dundas BI vs. Oracle Analytics Cloud report.
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