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 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 technical support is excellent, and they respond quickly."
"It's great for consolidation and creating one source of truth."
"The technical support services are good."
"A valuable feature is the speed of the solution."
"The product is easily customized."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data."
"It is very easy to use, and the Qlik data engine has been able to handle everything we have thrown at it."
"The ETL component allows us to pull from many different sources, making pulling data in easy."
"The time it takes to deliver a dashboard is real quick."
"The most valuable feature is the drag-and-drop reporting."
"Qlik Sense helps us increase our organization's customer relationships and brings in more projects."
"Leveraging and reusability of already existing QlikView assets and knowledge."
"Qlik Sense is essentially a web-based tool even though it's on-prem – you're working off an HTML page – so it's pretty quick. Your processing speed does not matter because you're using a lot of stuff through the web. That's great because it brings down the cost in regards to hardware."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The solution could be more flexible."
"It is less scalable than Snowflake."
"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."
"The interfaces could be improved and some in-memory operations could be built in."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"Qlik has a fast learning curve due to great online training resources (Qlik continuous classroom), but those are lacking the advance features like building extensions and using the API."
"There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"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."
"A valuable improvement for this solution would be the enabling of us to host dashboards for our customers."
"Possibly offering some more basic, simpler templates."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"The security rules should be made easier to use."
"The communication with the solution's sales managers in Europe is very bad, making it an area that requires improvement. My company usually gets no response from the tool's sales managers."
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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