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."
"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."
"The solution has a good drag-and-drop feature for creating dashboards."
"We use Dundas to report on machine sensor data and create dashboards."
"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."
"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."
"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."
"The technical support is excellent, and they respond quickly."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"It has the best feature for data augmentation."
"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."
"A valuable feature is the speed of the solution."
"This is a stable and scalable solution."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"Lacks sufficient online support."
"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."
"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."
"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."
"I cannot select a visualization and see what filters are connected to it."
"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."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"Its FAW feature has limitations in terms of usage."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"The price of the solution could be lower."
"The scalability has room for improvement."
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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