We performed a comparison between Oracle Analytics Cloud and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The technical support is excellent, and they respond quickly."
"The solution can scale."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The solution is user-friendly."
"The most valuable features of the solution are dashboarding and data visualization."
"The best feature may be data flow, which is used to prepare and clean data."
"A valuable feature is the speed of the solution."
"Simplifies report designs and quickly displays tables and graphs."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"I use Visual Analytics for enterprise reporting."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It integrates well with SAS, making it simple and quick for developers."
"The speed to display charts and react to users' choices is great."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The flexibility of the configuration is valuable to me."
"The solution could be more flexible."
"It is expensive."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"This solution could be more adaptable in its application."
"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."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"It is not as mature as competitors such as Tableau and QlikView."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"Colours used on report objects"
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
Oracle Analytics Cloud is ranked 6th in Data Visualization with 24 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Oracle Analytics Cloud is rated 8.0, while SAS Visual Analytics 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau and Microsoft Power BI, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku. See our Oracle Analytics Cloud vs. SAS Visual Analytics report.
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