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."The solution can scale."
"The solution is user-friendly."
"The product is easily customized."
"This is a stable and scalable solution."
"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."
"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 technical support is excellent, and they respond quickly."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"It has allowed me to move my data to the cloud."
"This solution is easy to learn how to use."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"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."
"Allows users to build their own solutions without as much reliance on technology staff."
"Visually displaying data."
"I have found the dashboard creating feature helpful."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"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."
"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 scalability has room for improvement."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"Its FAW feature has limitations in terms of usage."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"The administrative side of Sisense is a little cumbersome and confusing."
"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."
"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."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
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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