We performed a comparison between Oracle Analytics Cloud and Qlik Analytics Platform 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 most valuable features of the solution are dashboarding and data visualization."
"The solution is user-friendly."
"The solution can scale."
"The technical support services are good."
"The product is easily customized."
"A valuable feature is the speed of the solution."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"This is a stable and scalable solution."
"The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."
"Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."
"It is a great platform for third party extensions, has an open API, and there are no black boxes."
"Reporting is a valuable feature of the solution."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
"This solution could be more adaptable in its application."
"The price of the solution could be lower."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"The user experience needs to be improved."
"It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules])."
"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."
"More freedom for custom visuals and dashboard creation would be an improvement."
Oracle Analytics Cloud is ranked 6th in Data Visualization with 23 reviews while Qlik Analytics Platform is ranked 25th in Data Visualization with 4 reviews. Oracle Analytics Cloud is rated 8.0, while Qlik Analytics Platform is rated 8.4. 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 Analytics Platform writes "An easy-to-deploy solution with a variety of use cases and excellent reporting features". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service, whereas Qlik Analytics Platform is most compared with Apache Superset and Qlik Sense. See our Oracle Analytics Cloud vs. Qlik Analytics Platform report.
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