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."A valuable feature is the speed of the solution."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"It has the best feature for data augmentation."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The most valuable features of the solution are dashboarding and data visualization."
"The product is easily customized."
"It's a stable, reliable product."
"Great for handling complex data models."
"It's relatively simple to create basic dashboards and reports."
"We've found the product to be stable and reliable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The product is stable, reliable, and scalable."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"Simplifies report designs and quickly displays tables and graphs."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Its FAW feature has limitations in terms of usage."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"The licensing ends up being more expensive than other options."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The solution is a little weak at the front end."
"A bit more flexibility in the temperatization will be helpful."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The solution should improve its graphics."
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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