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."The most valuable features of the solution are dashboarding and data visualization."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The solution is user-friendly."
"This is a stable and scalable solution."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"It has the best feature for data augmentation."
"It is a stable product."
"You can do a lot of things on the back end which are not possible in the other solutions on the market."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"On the positive side, QlikView's scripting is a great asset as it functions as an ETL."
"You can switch views easily."
"I had the option to prepare data myself instead of always having to depend on the data team."
"It's pretty easy to deploy."
"Associative model - no more cubes."
"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."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"This solution could be more adaptable in its application."
"When you implement the product on a small scale, it doesn't generate any ROI."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
"The scalability has room for improvement."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"It would be nice if QlikView could be plugged in into the company's website or an online portal such as QlikSense is capable of. There are ways around but it takes enormous time to develop."
"The tool is expensive in Turkey."
"Sometimes the filters are disappearing, and I'm not sure why this is happening."
"The solution should be mobile-responsive. It should also include drag-and-drop and slice-and-dice features."
"Installation and deployment could be made easier and quicker."
"There could be a feature to analyze the sales and accounting data of the client."
"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."
"The user interface is old."
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 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, Tableau, Microsoft Power BI 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.
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.
