Spotfire is a division of Tibco and the formerly public entity went private in September 2014.
Spotfire is a data discovery and visualization BI tool and from the beginning, its focus was the pharmaceutical drug research domain. The company retains a strong presence in that market and of Tibco Spotfire’s roughly 200 customers, most tend to be in data intensive industries like life sciences, oil and gas exploration and financial services.
The product has built-in predictive analytics, an intuitive design for visualizations and excels at processing very large data sets. One gap was the absence of any report production capabilities, but the acquisition of JasperSoft in 2014 solved that issue and has resulted in a more complete BI platform with Spotfire handling data-discovery, location analytics, and mobile KPIs, while Jaspersoft provides pixel-perfect reporting and embedded analytics.
TIBCO Spotfire Features
BI Platform Features
- Live Connection to External Data
- In-memory data model
- Multi-Data Source Reporting (Blending)
Supported Data Sources Features
Data sources that can be consumed by the application.
- MS Excel Workbooks
- Text Files (CSV, etc)
- Oracle
- MS SQL Server
- IBM DB2
- Postgres
- MySQL
- ODBC
- Cloudera Hadoop
- Hortonworks Hadoop
- IBM Netezza
- HP Vertica
- SAP Hana
- Teradata
- SAP
BI Standard Reporting Features
Standard reporting means pre-built or canned reports available to users without having to create them.
- Customizable dashboards
Ad-hoc Reporting Features
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- Drill-down analysis
- Formatting capabilities
- Predictive modeling
- Integration with R or other statistical packages
- Report sharing and collaboration
Report Output and Scheduling Features
Ability to schedule and manager report output.
- Publish to PDF
- Output Raw Supporting Data
Data Discovery and Visualization Features
Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.
- Location Analytics / Geographic Visualization
- Predictive Analytics
- Support for Machine Learning models
- Pattern Recognition and Data Mining
- Integration with R or other statistical packages
Mobile Capabilities Features
Support for mobile devices like smartphones and tablets.
- Dedicated iOS Application
- Dashboard / Report / Visualization Interactivity on Mobile