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 best feature may be data flow, which is used to prepare and clean data."
"The solution can scale."
"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 product is easily customized."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"A valuable feature is the speed of the solution."
"It's great for consolidation and creating one source of truth."
"This is a stable and scalable solution."
"Can utilize SQL queries to generate reports directly."
"A great feature of the solution is its stability."
"There are some great new features in the latest version."
"Ability to create our own reports."
"The most valuable feature of Oracle OBIEE is interactive reporting because it allows better analysis versus conventional reporting, especially on the data warehouse side."
"The performance can issue queries to work in the Oracle database in Oracle's native language. There are a lot of visualizations which suit our business."
"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."
"I think having the conformed structures makes it a lot easier for end users and pulling reports together."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"They could improve the ease of developing the dashboard and interacting with it."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"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."
"There could be better integration with other solutions, such as Microsoft Office."
"Oracle OBIEE can improve the ease of use. It is a lot to learn and it could be made easier."
"Even though we have a feature to enable the physical query to be seen in the log, in case of any issues, it is challenging to debug and see or identify where is the issue. For example, we designed the OBIEE repository and deployed it into the server, and we are now accessing and creating a report. For some reason, if the report is not working as expected, it is very difficult to identify the issue. We have a feature to see the physical query that is being generated in the central OBIEE server. I feel that this feature should have been available at the repository level so that while designing the repository, we can select the presentation columns and the query it is going to create. This will avoid the additional task of deploying a feature into the server and then testing the report. It will also make the implementation process friendly if, while designing the repository, we can see: How is a feature working? Are any of the presentation columns selected? How is the query being generated? Which query is being generated? Are any joints used? What kind of joints are used? Having this kind of information will make Oracle OBIEE more powerful and developer-friendly."
"OBIEE doesn't have audit logs."
"It is very biased towards Oracle infrastructure. One of the major red flags we have at the moment against Oracle is that it doesn't support deployment on other cloud providers. We're quite heavily vested in AWS as our infrastructure, and Oracle is yet to formally support deploying on those virtual infrastructure instances. That's quite disappointing, and it also cuts them out of over 70% of the market."
"The platform's data visualization features need improvement."
"I would like to see the data wrangling features enhanced."
"Expanding beyond pure data reporting and into analytics, or expanding data science, would be areas for improvement."
Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 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 SAP Analytics Cloud, 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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