

Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
| Product | Mindshare (%) |
|---|---|
| Knowage | 2.0% |
| Tableau Enterprise | 14.5% |
| Microsoft Power BI | 14.1% |
| Other | 69.4% |
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Tableau Enterprise | 10.3% |
| Qlik Sense | 5.2% |
| Other | 82.8% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 6 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Knowage is an open-source business intelligence suite offering features like engine concepts and report customization. It's favored for its integration capabilities and self-service BI functionality, allowing users to leverage cross-platform access and conduct comprehensive data analysis.
Knowage stands out in the BI landscape by providing tools that facilitate autonomous data exploration, with an emphasis on flexibility and extensive integration options. With capabilities for embedding reports and dynamic dashboards, it supports various analysis needs through integration with databases and tools like Jasper and BIRT. Despite its technical complexity and interface limitations, Knowage's features such as GIS integration and big data visualization enhance operational efficiency and profitability analysis.
What are the key features of Knowage?In the healthcare and financial sectors, Knowage is used for deriving insights from health data warehouses and performing financial analyses. Companies use it to create dashboards and reports from MySQL databases, embedding them for wider distribution, and enabling effective resource evaluation and decision-making.
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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