We performed a comparison between IBM Planning Analytics and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out what your peers are saying about Anaplan, Oracle, Jedox and others in Business Performance Management."IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."
"The ease of use is valuable. The fact that it's plugged into Excel spreadsheets is also valuable. It provides additional functionality where you can slice and dice the information in a way that you can't do with spreadsheets"
"Navigating through the data to make analysis is really quick."
"It's a very stable, robust product."
"The tool is flexible."
"The product's stability is good."
"A lot of the platform is in-memory, so Planning Analytics can run calculations quite fast. It also offers several user interfaces. And in the newest version of Planning Analytics, there is a new one called the Planning Analytics Workspace. Maybe it could be useful for the business side."
"All the different platforms are well integrated."
"It's great for consolidation and creating one source of truth."
"A valuable feature is the speed of the solution."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"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 best feature may be data flow, which is used to prepare and clean data."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The most valuable features of the solution are dashboarding and data visualization."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"Adding predefined templates could be beneficial."
"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."
"The dashboard is very poor and needs a lot of improvement."
"The tool's transport layer could be improved when promoting development between environments."
"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."
"Planning Analytics could be improved by adding automation features."
"Extracting data is a little slow."
"It would have been better if the solution was not just a tool kit."
"They could improve the ease of developing the dashboard and interacting with it."
"The scalability has room for improvement."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"It is expensive."
"When you implement the product on a small scale, it doesn't generate any ROI."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"The interfaces could be improved and some in-memory operations could be built in."
IBM Planning Analytics is ranked 5th in Business Performance Management with 22 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 25 reviews. IBM Planning Analytics is rated 8.6, while Oracle Analytics Cloud is rated 8.0. The top reviewer of IBM Planning Analytics writes "Can easily create dashboards and helps businesses improve forecasting accuracy". 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 Planning Analytics is most compared with SAP Analytics Cloud, Microsoft Power BI, Anaplan, Jedox and IBM Cognos, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Microsoft Power BI, Tableau and Oracle Business Intelligence Cloud Service.
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