We performed a comparison between Apache Superset and Oracle Analytics Cloud 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 most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"It is a good visual solution tool in an open-source category."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The solution is user-friendly."
"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."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"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."
"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."
"It has the best feature for data augmentation."
"The most valuable features of the solution are dashboarding and data visualization."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"When you implement the product on a small scale, it doesn't generate any ROI."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"They could improve the ease of developing the dashboard and interacting with it."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
Apache Superset is ranked 11th in Data Visualization with 3 reviews while Oracle Analytics Cloud is ranked 6th in Data Visualization with 23 reviews. Apache Superset is rated 8.0, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Apache Superset writes "Has some great features and supports a rich set of charts". On the other hand, the top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Apache Superset is most compared with Tableau, Qlik Sense, Splunk Enterprise Platform, Sisense and ThoughtSpot, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Workday Prism Analytics. See our Apache Superset vs. Oracle Analytics Cloud report.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.