We performed a comparison between Amazon QuickSight and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The graph charts, pie charts, and box plots are valuable."
"The solution is very quick to turn around and integrate."
"It is fine for basic reporting."
"The most valuable feature I have found is the low-level securities are very easy to use."
"The product is easy to learn."
"One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created."
"The solution is simple to implement."
"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."
"The ability to quickly search for and access relevant data is crucial."
"The best feature may be data flow, which is used to prepare and clean data."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The most valuable features of the solution are dashboarding and data visualization."
"The product is easily customized."
"This is a stable and scalable solution."
"It's not ideal for reports that are more complex."
"One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly."
"I just want a few more features to be added."
"They could provide more options for graphics and other features."
"Lacked connectivity with other third-party tools and data sources."
"The product has some storage and SPICE data issues."
"It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"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."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"This solution could be more adaptable in its application."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The scalability has room for improvement."
Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Amazon QuickSight is rated 6.8, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Amazon QuickSight writes "Useful for developing dashboards for various lines of business". 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". Amazon QuickSight is most compared with Microsoft Power BI, Tableau, Looker, Google Data Studio and Qlik Sense, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Apache Superset. See our Amazon QuickSight vs. Oracle Analytics Cloud report.
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