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 solution's most valuable feature is its flexibility to visualize certain logs."
"It is notably fast in handling large data set refreshes, making it efficient for data analysis."
"The solution is very quick to turn around and integrate."
"Amazon QuickSight has introduced a new functionality called Q bar, which allows the user to do natural language queries and get additional insights using some built-in generative capabilities."
"A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight. Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well."
"From an analytics perspective, it's really good for self-service analytics."
"The product is easy to learn."
"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."
"The product is easily customized."
"The ability to quickly search for and access relevant data is crucial."
"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."
"This is a stable and scalable solution."
"The most valuable features of the solution are dashboarding and data visualization."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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 solution must be more user-friendly."
"I just want a few more features to be added."
"There should be better connectors for different data sets."
"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."
"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."
"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."
"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."
"One area where Amazon QuickSight could improve is its formatting features for dashboards."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"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."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"The price of the solution could be lower."
"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."
"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."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
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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