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 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."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"It's great for consolidation and creating one source of truth."
"It has the best feature for data augmentation."
"The technical support is excellent, and they respond quickly."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"It allows you to create a new column using split on a current column, which we find very useful."
"Qlik Sense is very stable. I would rate the stability a ten out of ten. Even for rare issues, we receive good support from Qlik. It's a very stable solution."
"The overall ability to build quick wins with simple data to drive insights."
"The most valuable feature is the drag-and-drop reporting."
"Placing buttons on my sheets creates a unique user experience and clears up clutter at the same time."
"Qlik Sense is a very powerful and useful tool."
"The GeoAnalytics paints such a clear picture. It provides a visual of our patient volume, giving us opportunities to see how we are trending in the surrounding cities, and making us more aware of locations that we need to focus more on."
"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."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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."
"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 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."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
"Data modelling automation needs improvement."
"Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue."
"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."
"I am not really a fan of the set analysis. It's its own language that doesn't quite make a whole lot of sense to me at this point. I wish it were more intuitive."
"There is a direction currently with feature releases within QLik Sense which are focused towards the SaaS or Cloud offerings of Qlik Sense. This leaves those who have invested heavily in on-premise enterprise deployments in a difficult position to gain the benefits of some powerful new features they have to look to reinvest further towards these SaaS or Cloud deployments or bring in a hybrid model. Qlik provides no real split between what features are available in each of the deployment options."
"The management console appearance needs improvement to its look."
"What needs improvement in Qlik Sense is the support. It could be faster. My organization had already talked to Qlik management and has escalated multiple times, so management is looking into the support."
"Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."
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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