We performed a comparison between Oracle Analytics Cloud and SAP Analytics Cloud 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."The product is easily customized."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"It has the best feature for data augmentation."
"The best feature may be data flow, which is used to prepare and clean data."
"The ability to quickly search for and access relevant data is crucial."
"This is a stable and scalable solution."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"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."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript)."
"It's many features make it the best in the market."
"The solution is stable."
"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."
"In the most recent release, the schedule publication was officially updated and it's been added on MS Office 365. I like how we had an EPM for B to C perspective; it's a great enhancement. Also, I believe the B to B connectivity has been improved. Android support for mobile is really good also. Power BI has always had android support in place, so manual support for SAP Analytics Cloud is also a very good feature."
"One feature I've found most valuable is discovery."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"Its FAW feature has limitations in terms of usage."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"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."
"It is less scalable than Snowflake."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The price of the solution could be lower."
"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."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"The solution should include other scripting languages as well, such as Python."
"Connection and integration with other applications have a lot of restrictions at the moment."
"SAP could add more templates to the platform."
"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."
"Sometimes there are speed issues with big deletion data."
"I would like to see reporting to the Analytics cloud directly."
"SAP has always had one problem with its products, they make them very closed systems that are difficult to integrate."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 60 reviews. Oracle Analytics Cloud is rated 8.0, while SAP Analytics Cloud is rated 8.0. 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 SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Qlik Sense, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Amazon QuickSight. See our Oracle Analytics Cloud vs. SAP Analytics Cloud report.
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