Plan a TIBCO Data Science Deployment

You can plan a deployment of TIBCO Data Science for your enterprise, you can use this handy checklist to determine which deployment will meet your needs the most effectively.

For each of the tasks highlighted in this table, see the corresponding documentation for the TIBCO Data Science tool.

I need... Statistica / Statistica Server Team Studio / Team Studio Server TIBCO Enterprise Runtime for R TERR Server Edition Spotfire Statistics Services
Access to MATLAB scripts. x
Access to R scripts. x x x1 x
Access to SAS scripts. x
Advanced statistics. x x x x x
An analytic tool for a regulated environment. x x
An audit trail database. x
Asset management capability. x x x x2
Fast insights on very big data sets. x x
In-analysis data handling. x x x x
In-datasource handling of big data. x x
Job scheduling. x x
Model management. x x
Monitoring and alerting. x
Project management. x
Strict governance. x x
Team collaboration. x
Export predictive models to other languages. x x x
The ability to score a model. x x3 x x x
To collaborate on an analysis with my nontechnical coworkers. x
To deploy a model to an IoT gateway in a remote location. x
To display results in TIBCO Spotfire Cloud or Spotfire Business Author. x x x x x
To do distributed computation. x x x4
To export my analysis to Jaspersoft for reporting. x
To incorporate my analysis with my custom application using APIs. x x x x
To incorporate my Python scripts. x x5 x6 x
To manage users by name or group. x x
To manage users by role. x
To publish a model to TIBCO Flogo. x
To read data from TIBCO Data Virtualization ADO. x x
To automatically deploy models to a real-time scoring service (TIBCO® Streaming). x x
To stream my analysis through TIBCO® Streaming. x x x
To use my Jupyter Notebook in a workflow. x
To use my Python Notebook in a workflow. x
1 Using the RinR library.
2 Using the Spotfire Server library.
3 Using the Hadrian scoring service.
4 Using the parallel library.
5 Using Jupyter notebooks.
6 Using the RPython package.