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."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."
"The graph charts, pie charts, and box plots are valuable."
"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."
"The query and dashboard capabilities are entirely good."
"It is fine for basic reporting."
"It has a lot of valuable features, but the most important aspect is the affordable cost. This solution costs much less in comparison to the competitors like Qlik Sense, Power BI, and Tableau."
"It is notably fast in handling large data set refreshes, making it efficient for data analysis."
"The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"The product is easily customized."
"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."
"A valuable feature is the speed of the solution."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The solution is user-friendly."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"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 should be better connectors for different data sets."
"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."
"Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production."
"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."
"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."
"I would like to see a feature that allows us to save a draft version before making it public and publishing it."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The interfaces could be improved and some in-memory operations could be built in."
"They could improve the ease of developing the dashboard and interacting with it."
"When you implement the product on a small scale, it doesn't generate any ROI."
"The solution could be more flexible."
"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 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."
"It is expensive."
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.
See our list of best BI (Business Intelligence) Tools vendors.
We monitor all BI (Business Intelligence) Tools 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.