We performed a comparison between Oracle Analytics Cloud and Oracle OBIEE based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Oracle Analytics Cloud has a slight edge in this comparison. It received better marks than Oracle OBIEE for its ease of deployment, scalability, and performance.
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The solution can scale."
"The solution is user-friendly."
"The most valuable feature is the ability to set up the automated delivery of reports."
"It mostly supports enterprise level data. We have millions of records on a daily basis."
"It's the connectors, the adapters. Built in connectors with different ERPs, you can plug in XL, other sources of data. It's very easy to configure. It's very easy to use."
"A great feature of the solution is its stability."
"I like the architecture of this solution. RPV is a powerful feature in Oracle OBIEE. It lets us design as per the needs of the organization. I can have multiple presentation folders and presentation layers. I can have customization in a single node in VMware, which is a very good feature of Oracle OBIEE. It helps customers in designing as per their requirements."
"We have scheduled reports delivered automatically to our business users using enterprise features."
"User-friendly look and feel."
"The “Business Model & Mapping” layer in the Administration Tool, because the maintenance and evolution processes are greatly facilitated."
"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."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"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."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"Its FAW feature has limitations in terms of usage."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"One of the things that have been difficult with OBIEE during all the time that I've known it is that when something goes wrong, many times, the error messages are not specific, and you've got to spend a lot of time digging and digging and digging before you say, "Oh, okay. I figured out what it was." There should be more detailed error messages or troubleshooting messages."
"Essbase integration needs to be worked on."
"If the data is large, the dashboard takes a really long time. So, based on the database, if you have around a million cost contacts, the load time is very low, and the dashboard fails."
"For a beginner, this is a product that is difficult to learn. You cannot learn it quickly."
"Retail, Finance, Wholesale"
"The solution needs to be easier to scale."
"Oracle OBIEEE's performance and licensing costs could be improved."
"The documentation in Oracle OBIEE can be more user-friendly."
Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews while Oracle OBIEE is ranked 3rd in BI (Business Intelligence) Tools with 154 reviews. Oracle Analytics Cloud is rated 8.0, while Oracle OBIEE is rated 7.8. 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 Oracle OBIEE writes "A solution that is easily accessible, scalable and requires a straightforward initial setup process to get started". Oracle Analytics Cloud is most compared with Databricks, Tableau, Microsoft Power BI, Oracle Business Intelligence Cloud Service and Qlik Sense, whereas Oracle OBIEE is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, IBM Cognos, Tableau and Microsoft SQL Server Reporting Services. See our Oracle Analytics Cloud vs. Oracle OBIEE report.
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