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 most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"The product is easy to learn."
"I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area."
"Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. It is easier to use, more stable, and cheaper than other solutions."
"The graph charts, pie charts, and box plots are valuable."
"Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."
"The ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards."
"From an analytics perspective, it's really good for self-service analytics."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The best feature may be data flow, which is used to prepare and clean data."
"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 product is easily customized."
"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 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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The ability to quickly search for and access relevant data is crucial."
"Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs. Drill-downs were the main area where we found QuickSight lacking."
"One area where Amazon QuickSight could improve is its formatting features for dashboards."
"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product. What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service."
"The solution must be more user-friendly."
"The number of features in the product is limited in comparison with the other tools in the market, like Power BI."
"It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this. As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"It's not ideal for reports that are more complex."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"This solution could be more adaptable in its application."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
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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