We performed a comparison between Oracle Analytics Cloud and TIBCO Spotfire 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 ability to quickly search for and access relevant data is crucial."
"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 technical support services are good."
"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."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The product is easily customized."
"It has the best feature for data augmentation."
"TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves."
"It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts."
"From a scalability standpoint, I would say it's pretty fantastic."
"We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable."
"The ability to create a real-time data mark, using just one piece of software, is the best feature of this product."
"R and automation services."
"Live Query data on demand, R and Python integration, and the ability to write HTML and JavaScript text areas are all valuable features."
"This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to 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."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"It is expensive."
"The scalability has room for improvement."
"We would like to see some improvement in the default properties of the solution, so that there is less need for us to spend our time coding."
"When it comes to data manipulation, there are features which are good, but one of the features which has really been missing in Spotfire is an offline ability for data manipulation."
"The data compression has room for improvement."
"The way TIBCO Spotfire is designed, in my opinion, is the reason why it lags a bit, especially compared to other BI tools like Qlik."
"When you do the data loading, it is slow."
"The solution might be generic."
"We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets."
"I would like more easy-to-implement analytical algorithms. At the moment they include things like forecasts and regressions. They need to add a lot more of these types of things to the product because not everyone is a data scientist."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 25 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. Oracle Analytics Cloud is rated 8.0, while TIBCO Spotfire 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 TIBCO Spotfire writes "Empowers us to extract insights and provide valuable business analytics to support decision-making within our organization". Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Tableau and Oracle Business Intelligence Cloud Service, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Amazon QuickSight. See our Oracle Analytics Cloud vs. TIBCO Spotfire report.
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