We performed a comparison between IBM Cognos and Oracle Analytics Cloud 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 most valuable feature of IBM Cognos is security. The solution has updated features that other competitors' solutions come out with long after IBM Cognos has had them."
"The dashboarding offered by this solution is very valuable to us."
"I have worked on the features like dashboards and stories, and I do like them a lot."
"IBM Cognos offers tools so that you can design and develop your own test queries and reporting solutions."
"The correlation analysis is excellent. It's one of the best that I have used to date."
"Report Studio: This is the most powerful and sophisticated tool for professional reporting."
"Comparing IBM Cognos to other applications, once a person is trained on it or they have developed a skill set to operate the application, it is best in its category."
"This solution allows you to input a wide range of file formats."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"The solution is user-friendly."
"It's great for consolidation and creating one source of truth."
"Oracle Analytics Cloud's most valuable feature is its 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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product is easily customized."
"It would be better if it is was easier to implement without extensive training for it."
"One key area for improvement is the need to improve the self-service nature and functionality of the product in terms of visual analytics."
"They should provide improved visual reporting."
"IBM Support can be slow at times, but they can usually deliver in a timely manner."
"The tool needs to improve the connectivity since I see that, at times, there is a need to increase the memory in the database."
"I would like for the platform to become more standard. If we make a development on our report and our dashboard, it will not be used in another solution. That means there is no portability for the developers."
"There are many problems with the product's stability part, making it an area where improvements are required."
"Cognos is quite slow - it's missing the performance of the PowerPlay cubes."
"The product could benefit from increased flexibility compared to other vendors."
"The price of the solution could be lower."
"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 is less scalable than Snowflake."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"When you implement the product on a small scale, it doesn't generate any ROI."
IBM Cognos is ranked 7th in BI (Business Intelligence) Tools with 132 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. IBM Cognos is rated 8.0, while Oracle Analytics Cloud is rated 8.0. The top reviewer of IBM Cognos writes "Improved the quality of our KPIs, while reducing calls to the IT department". On the other hand, the top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". IBM Cognos is most compared with Microsoft Power BI, Oracle OBIEE, Tableau, SAP BusinessObjects Business Intelligence Platform and Oracle Hyperion, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Amazon QuickSight. See our IBM Cognos vs. Oracle Analytics Cloud report.
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