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 technical support services are good."
"The solution can scale."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"This is a stable and scalable solution."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The most valuable features of the solution are dashboarding and data visualization."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"It's a stable, reliable product."
"The product is stable, reliable, and scalable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The technical support services are good."
"It integrates well with SAS, making it simple and quick for developers."
"It provided the capability to visualize a bunch of data in an organized way."
"We've found the product to be stable and reliable."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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 is less scalable than Snowflake."
"When you implement the product on a small scale, it doesn't generate any ROI."
"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."
"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."
"This solution could be more adaptable in its application."
"They could improve the ease of developing the dashboard and interacting with it."
"The licensing ends up being more expensive than other options."
"The installation process can be a bit complex."
"It is not as mature as competitors such as Tableau and QlikView."
"The solution is a little weak at the front end."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"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."
"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."
"There is a need for coding when it comes to digital reporting which can be intimidating."
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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