We performed a comparison between Oracle Analytics Cloud and Sisense based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools 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 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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"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."
"This is a stable and scalable solution."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The best feature may be data flow, which is used to prepare and clean data."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"Ability to work with very large data sources without the limitations of Excel."
"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"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."
"This solution could be more adaptable in its application."
"Its FAW feature has limitations in terms of usage."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"The solution's setup process could be easier."
"The administrative side of Sisense is a little cumbersome and confusing."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews while Sisense is ranked 17th in BI (Business Intelligence) Tools with 39 reviews. Oracle Analytics Cloud is rated 8.0, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight. See our Oracle Analytics Cloud vs. Sisense report.
See our list of best BI (Business Intelligence) Tools vendors and best Data Visualization vendors.
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