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."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 best feature may be data flow, which is used to prepare and clean data."
"It's great for consolidation and creating one source of truth."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"A valuable feature is the speed of the solution."
"The solution is user-friendly."
"It has the best feature for data augmentation."
"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."
"It has allowed us to manage our staff more effectively and frees up time for our analysts to analyze new problems and opportunities."
"We have had an easy time supplying content to our customers."
"It connects very simply to data sources."
"Qlik Sense brings in the concept of shared libraries where one user can create custom dimensions (even with drill-down functionality), measures, and even visualizations and save it to the "Master Items," from which the other users can simply drag and drop to use it for their analysis."
"Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
"It is extremely clean to view, easy to use, and intuitive to develop with. There are a host of online resources to provide assistance to new users."
"This solution could be more adaptable in its application."
"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 price of the solution could be lower."
"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."
"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."
"The solution could be more flexible."
"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."
"The product could be improved by implementing a user-feedback ranking system."
"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."
"The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well."
"I would like to see improvements in the Qlik Sense SaaS version, particularly in the front-end capabilities."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"I would like to have the ability to better customize the visuals including changing fonts, sizing, colors, axes, and titles."
"Ad-hoc reporting capabilities would be ideal."
"If a team wants to keep track of source code changes, there is not an out-of-the-box solution for it."
Oracle Analytics Cloud is ranked 6th in Data Visualization with 23 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 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 SAP Analytics Cloud, 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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