We performed a comparison between Oracle Analytics Cloud and Oracle OBIEE based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Oracle Analytics Cloud has a slight edge in this comparison. It received better marks than Oracle OBIEE for its ease of deployment, scalability, and performance.
"The solution is user-friendly."
"It has the best feature for data augmentation."
"The ability to quickly search for and access relevant data is crucial."
"The technical support services are good."
"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."
"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."
"The most valuable feature of Oracle OBIEE is it's designed for Oracle. It works well in the Oracle environment and can sit on top of any application."
"There are a lot of functions in the product, including a drill-down functionality and level-based hierarchies that are very attractive."
"In terms of features, everything is good. It is also stable and scalable."
"I have found the most valuable features are business intelligence and reporting."
"The most valuable features of Oracle OBIEE are the ease of logging in, the dashboard, and showing the problems in the data. Additionally, the reports are well integrated and it has good technology."
"The most valuable feature of Oracle OBIEE is its ease of use."
"The most valuable feature is the ability to set up the automated delivery of reports."
"The setup isn't too difficult."
"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."
"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 less scalable than Snowflake."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"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."
"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."
"Its FAW feature has limitations in terms of usage."
"If the data is large, the dashboard takes a really long time. So, based on the database, if you have around a million cost contacts, the load time is very low, and the dashboard fails."
"In our organization, we feel that data visualization for APIs is an area in which the solution lacks."
"The ability to migrate from one version to another, such as doing so from version 11 to an upgraded 12 of Oracle business environment, can be difficult."
"Customer service/technical support gets five out of 10. Sometimes good, sometimes bad."
"Supply chain and finance."
"I find I prefer Oracle OAC over OBIEE. It's more advanced, has artificial intelligence, and there's more that we can do with it in general. OBIEE is lacking features."
"Retail, Finance, Wholesale"
"One significant improvement is the need for simplification. The set up could be more intuitive. An enterprise setup with HA and DR are pretty complex and to get a robust solution one has to play around with Real Application Cluster data sources and FAN notifications as well as WebLogic clustering and external load balancers. SSO also is not that simple to set up especially if you want all your Oracle systems to use the same SSO solution, i.e., no cheating with direct LDAP connectivity."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while Oracle OBIEE is ranked 3rd in BI (Business Intelligence) Tools with 154 reviews. Oracle Analytics Cloud is rated 8.0, while Oracle OBIEE is rated 7.8. 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 OBIEE writes "A solution that is easily accessible, scalable and requires a straightforward initial setup process to get started". Oracle Analytics Cloud is most compared with Databricks, Tableau, Microsoft Power BI, Oracle Business Intelligence Cloud Service and SAP Analytics Cloud, whereas Oracle OBIEE is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, IBM Cognos, Tableau and Microsoft SQL Server Reporting Services. See our Oracle Analytics Cloud vs. Oracle OBIEE report.
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We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.