

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 enterprise subscription offers more benefits, ensuring valuable outcomes.
The tendency to route users to sales personnel with limited technical expertise detracts from the support experience.
They provide callbacks to ensure clarity and resolution of any queries.
While Oracle OBIEE is scalable, it is more of a niche product designed to work specifically with Oracle systems.
SAS Visual Analytics is stable and manages data effectively without crashing.
I always aim for the star schema in the business model, even if the physical source is normalized. This approach will impact the performance, speed of the data, and accuracy.
Oracle OBIEE has a steep learning curve compared to tools like SQL Server or Power BI.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
Oracle OBIEE is quite expensive, especially when compared to Microsoft's solutions.
The best features in Oracle OBIEE include improved visualizations, look and feel, and user-friendliness, particularly in OAC, which is the extended version in cloud where DV has been introduced.
A valuable feature of Oracle OBIEE is its ability to automate some tasks, such as invoice analysis, saving a significant amount of clerical work.
In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
| Product | Mindshare (%) |
|---|---|
| Oracle OBIEE | 1.7% |
| Microsoft Power BI | 8.1% |
| Tableau Enterprise | 6.2% |
| Other | 84.0% |
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Tableau Enterprise | 10.3% |
| Qlik Sense | 5.2% |
| Other | 82.8% |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 34 |
| Large Enterprise | 103 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Oracle OBIEE offers interactive dashboards, robust reporting, and seamless integration with diverse data sources. It provides powerful visualizations and enterprise-level security, making it ideal for large-scale data handling and insightful analysis.
Oracle OBIEE is a comprehensive business intelligence and analytics platform, valued for its ability to integrate seamlessly with multiple data sources and deliver powerful visualizations, including map-based options. Users appreciate its flexible custom report creation, centralized metadata management, and enterprise-level security. This platform facilitates self-service analytics, minimizing IT dependency. Despite these strengths, there are areas for improvement, such as simplifying navigation to ease report creation and data visualization. Performance issues with large datasets and integration challenges with external applications are noted. Enhancements in documentation, support, and the modernization of visualizations could make it even more effective. Licensing costs are high, suggesting a need for architectural simplification and advanced analytics features.
What are the key features of Oracle OBIEE?Oracle OBIEE is utilized across industries for data reporting, business intelligence, and analytics. Companies create dashboards for sales performance monitoring, financial product analysis, and operational and financial reports generation. It supports departments like finance, marketing, and HR, facilitating enterprise-wide reporting and enhancing business intelligence capabilities.
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
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