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 ability to quickly search for and access relevant data is crucial."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The product is easily customized."
"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."
"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."
"The technical support services are good."
"Considering the reporting part, I rate the tool a nine out of ten."
"The product is flexible and has features like AI, link analysis, and insights. It has many features. I can search, and it creates automatic charts without selecting anything. For example, I can ask, "What is the gross margin?" the tool builds a chart based on my question."
"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"I like the product's capabilities. The clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions."
"The most valuable feature of SAP Analytics Cloud is its integration with SAP."
"Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."
"Planning and integration are the most valuable features. It is useful for planning, and it is useful for integrating with on-prem or cloud SAP solutions."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"It is expensive."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"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."
"They could improve the ease of developing the dashboard and interacting with it."
"It is less scalable than Snowflake."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."
"The customizations need to be better."
"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."
"Connection and integration with other applications have a lot of restrictions at the moment."
"SAP could add more templates to the platform."
"Sometimes there are speed issues with big deletion data."
"An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement."
"I would like to see reporting to the Analytics cloud directly."
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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