We performed a comparison between Oracle Analytics Cloud and Qlik Sense 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 best feature may be data flow, which is used to prepare and clean data."
"It has the best feature for data augmentation."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The ability to quickly search for and access relevant data is crucial."
"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."
"The drag and drop functionality provides an easy and fast development approach."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
"We have found the use of AI to be the most valuable feature."
"Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand."
"We can easily and quickly deploy new dashboards that reach a wide audience and any changes get reflected almost instantaneously for the users."
"Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data."
"It connects very simply to data sources."
"Takes the super features of QlikView ETL capabilities to a whole new level with its new drag and drop feature, and extension capabilities derived from the robust Qlik API."
"The solution could be more flexible."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"It is less scalable than Snowflake."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"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's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"This solution would be improved by adding some Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) components that are easier to interpret and design."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"I would like for it to be more of a plug and play with all of the tools and sources. It would make it much easier to use."
"I'd like to see more end-user-friendly UI designs."
"The QMC needs more work. Some of the features should be available directly from the hub. Too many duplicates/publish. Intelli-sense when loading a stored qvd would help so much with remembering column names. The pop-up windows are too small when working in the QMC."
"Branding is not the product's strongest point. More control over the presentation colors would be great. A basic printing function would also be good. Easy connection to external tools like R Server would be nice."
"Needs more bookmarking and a data load screen."
"The augmented intelligence features don't work well for the analytical user."
Oracle Analytics Cloud is ranked 6th in Data Visualization with 24 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 reviews. Oracle Analytics Cloud is rated 8.0, while Qlik Sense is rated 8.6. The top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Essbase, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and SAP BusinessObjects Business Intelligence Platform. See our Oracle Analytics Cloud vs. Qlik Sense report.
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