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 technical support services are good."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The ability to quickly search for and access relevant data is crucial."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"It's great for consolidation and creating one source of truth."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"The solution can scale."
"A valuable feature is the speed of the solution."
"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript)."
"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."
"The reporting, dashboards, KPIs, and visualization are the most valuable."
"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage."
"The most valuable features are the analytical application and the user story."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"Visualization is quite seamless and awesome. Once the data messaging is set up, it's straightforward and simple to select how it should be displayed. So, that's another advantage of SAP."
"It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"When you implement the product on a small scale, it doesn't generate any ROI."
"The product could benefit from increased flexibility compared to other vendors."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"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 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."
"This solution could be more adaptable in its application."
"The scope is limited to a few accounts."
"I expect more integration from SAP Analytics Cloud."
"There should be more features for the time series charts."
"AI doesn't work as well with SAP live connections."
"The customizations need to be better."
"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."
"Statistical analysis should be a bit more profound than it is."
"There is plenty of room for improvement. They have different products, and you need to integrate all of them to have one functionality. For example, data extraction happens in Datasphere. Then it would be best if you had some connection between the Datasphere and the SAP Analytics Cloud to get the data, as this is causing headaches sometimes. The knowledge base and Jedox also could be more meaningful. I have tried to search for some specific knowledge base and technology base, and I didn't find them. I have learned it by trial and error. There is room to improve the integrations between the different products. The AFS, and the Data action, need improvement. Sometimes they release new tools and updates, but not in my area."
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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