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 technical support is excellent, and they respond quickly."
"The technical support services are good."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The solution can scale."
"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."
"The best feature may be data flow, which is used to prepare and clean data."
"It has the best feature for data augmentation."
"It has improved our organization by providing data to decision-makers in a safe visual environment."
"The solution is scalable."
"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."
"All the visualizations have been so valuable."
"Data-driven decisions are now easier."
"The most valuable feature is the drag-and-drop reporting."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
"It offers good control. Loading the logs is also a good thing."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"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 interfaces could be improved and some in-memory operations could be built in."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The product could benefit from increased flexibility compared to other vendors."
"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."
"Data modelling automation needs improvement."
"Even though a huge set of learning material is available, anyone starting his/her journey on learning the software doesn't even know where to start it. The so-called Continous Classroom service is not cheap, but there are many free tutorials, they are not sorted or enlisted adequately though."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"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."
"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."
"Ad-hoc reporting capabilities would be ideal."
"Qlik Sense could include additional features for data preparation and integration, making it easier for users to clean, transform, and integrate data from various sources."
"Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups."
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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