We performed a comparison between Oracle Analytics Cloud and Oracle Business Intelligence Cloud Service 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."Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"A valuable feature is the speed of the solution."
"The best feature may be data flow, which is used to prepare and clean data."
"The solution can scale."
"The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities."
"Initial setup was straightforward."
"Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."
"The solution effectively integrates with third-party products."
"It is expensive."
"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 interfaces could be improved and some in-memory operations could be built in."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The price of the solution could be lower."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"They could improve the ease of developing the dashboard and interacting with it."
"When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."
"The dashboard could be improved and include additional features."
"In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience."
"Quality of support varies."
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Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews while Oracle Business Intelligence Cloud Service is ranked 20th in BI (Business Intelligence) Tools with 4 reviews. Oracle Analytics Cloud is rated 8.0, while Oracle Business Intelligence Cloud Service is rated 7.2. 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 Oracle Business Intelligence Cloud Service writes "Highly scalable with very good configuration, customization, and migration". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Qlik Sense, whereas Oracle Business Intelligence Cloud Service is most compared with . See our Oracle Analytics Cloud vs. Oracle Business Intelligence Cloud Service report.
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