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."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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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 best feature may be data flow, which is used to prepare and clean data."
"It has the best feature for data augmentation."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"The ability to quickly search for and access relevant data is crucial."
"The solution can scale."
"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."
"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."
"Great for handling complex data models."
"I use Visual Analytics for enterprise reporting."
"We've found the product to be stable and reliable."
"It's a stable, reliable product."
"The technical support services are good."
"Simplifies report designs and quickly displays tables and graphs."
"The scalability has room for improvement."
"The solution could be more flexible."
"When you implement the product on a small scale, it doesn't generate any ROI."
"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."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"It is less scalable than Snowflake."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"Its machine learning and visualization capabilities can be improved. There should be more visualization 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."
"SAS Visual Analytics could be more user-friendly."
"Colours used on report objects"
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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."
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 Data Science Studio. See our Oracle Analytics Cloud vs. SAS Visual Analytics report.
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