Loading...
Backed By TIBCO Software Inc.
Predictive analytics and data visualization platform for advanced analytics.
Spotfire by TIBCO is an advanced analytics platform that combines predictive analytics, data visualization, and dashboarding. It supports machine learning, time series forecasting, and what-if analysis, making it ideal for data scientists and business analysts. Spotfire integrates with a wide range of data sources and offers extensibility through APIs and scripting.
Machine learning and forecasting
What-if analysis
Interactive dashboards
Advanced visual analytics
Connect to databases and cloud sources
API and scripting extensibility
Access to interactive dashboards and analysis via the web browser.
Full desktop client and web authoring capabilities.
Centralized data management and security.
Interactive Visual Analytics and Dashboards
Native Data Science Integration (R/Python, TIBCO Data Science/Statistica)
Advanced Geospatial Analytics (Maps and Location Intelligence)
Real-Time Data Streaming and Live Querying
Data Preparation and Wrangling Tools
Real user experiences from across different platforms
The biggest advantage is the ability to integrate advanced models (R/Python) and quickly build customized predictive views. It is far superior to Power BI for technical data analysis and complex data discovery.
Verified User
N/A
ciences, Energy) that require powerful geospatial, statistical, and native R/Python integration in their BI tool.
a visualization and continuous intelligence over static dashboards.
budgets (high cost is a major deterrent).
creation and modern aesthetics (Tableau/Power BI are stronger here).
Empowering organizations to gain continuous intelligence from complex, real-time data through market-leading interactive visualization, native data science integration, and superior geospatial capabilities.
High licensing cost, especially for the enterprise/server versions (perpetual licenses are particularly expensive). Some users report performance degradation and slow response times when dealing with very large datasets or complex visualizations (though generally considered scalable). Steep learning curve for advanced features like IronPython scripting and complex data wrangling. The aesthetics and user interface of the desktop client (**Analyst**) are sometimes considered less modern than competitors (e.g., Tableau). Occasional issues with the stability of the Information Link (data connection) reader.