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."Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The best feature may be data flow, which is used to prepare and clean data."
"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 solution can scale."
"The technical support services are good."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The most valuable features of the solution are dashboarding and data visualization."
"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 most valuable features of Qlik Sense are its speed and seamless development of web technologies."
"The solution's technical support is good."
"Quick reporting."
"The changes in a dashboard are very easy."
"The UI is very easy to use, with drag and drop self-service analytics."
"The ETL component allows us to pull from many different sources, making pulling data in easy."
"This solution has improved our organization by making our analysis results available to customers."
"Qlik Sense has a modern look and feel and a very intuitive UI, so non-technical users find it very user friendly."
"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."
"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."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"It is less scalable than Snowflake."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"Its FAW feature has limitations in terms of usage."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Multi-server deployment: not just cloud, but on premise too, and hybrid. Needs lighter protocols to communicate between the different services and with the clients."
"They need to keep it as simple as possible but include as much advanced functionality as possible by positioning all the objects on the page, changing colors for all the objects, improving sheets actions, etc."
"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 only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker."
"The product could be less expensive."
"It needs continued improvement on its visualizations and content customization."
"Reload time is a limit since everyone wants real-time data."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
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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