We performed a comparison between Oracle Analytics Cloud and QlikView 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."It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"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."
"The solution is user-friendly."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"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."
"It has the best feature for data augmentation."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"You can switch views easily."
"QlikView is one of the strongest tools, I would say. Also, it has a very vast capability to process the data"
"It excels in supporting database connections and various database types."
"E-T-L, The Extract, Transform, and Loading capabilities of QlikView make it a highly sophisticated self-service business intelligence tool for developers and analysts."
"It's pretty easy to deploy."
"The product’s most valuable feature is its ability to view the entire data available for analysis."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"Once you open it up, you see everything that you can do."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"The solution could be more flexible."
"The price of the solution could be lower."
"Its FAW feature has limitations in terms of usage."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"They could improve the update time."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
"There could be a feature to analyze the sales and accounting data of the client."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"Enhancing user-friendliness would be highly beneficial."
"For me, it is important to have a mix, what is the "view" and what is the "sense", Qlik Sense. They have two tools, but for me it is important to have only one tool, which combines the functions that we have from one side and the other side."
"They could improve the speed."
"The tool is expensive in Turkey."
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 25 reviews while QlikView is ranked 5th in Reporting with 158 reviews. Oracle Analytics Cloud is rated 8.0, while QlikView is rated 8.2. 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 QlikView writes "Useful for data visualization and business intelligence". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Tableau and Oracle Business Intelligence Cloud Service, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire. See our Oracle Analytics Cloud vs. QlikView report.
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