Feature differences between Watson Studio deployments

This table describes the feature differences between the Watson Studio service on multiple deployment environments. Watson Studio Local 2.1 has the same features as the service in Cloud Pak for Data 2.5.

* Indicates that the feature is limited or not available in some offering plans.

+ Indicates that the feature requires an additional service that might cost extra. In Cloud Pak for Data as a Service, the Watson Studio service includes functionality that is provided by several separate services in other deployment environments.

Feature Cloud Pak for Data
as a Service
Cloud Pak for Data
2.5
Cloud Pak for Data
3.0.1
Cloud Pak for Data
3.5
Watson Studio
Desktop
Collaboration in projects  
Jupyter notebooks
JupyterLab    
Scripts    
Data Refinery
Project import and export
Git integration    
Anaconda Repository integration     + +  
Crowd sourced annotation *        
RStudio + + +  
Remote data sources *
Personal credentials    
Upload data files
Link to data files        
Environment runtimes + + +  
GPU environments + + +  
Job scheduling  
SPSS Modeler flows + + +
Decision Optimization + + +  
Visual Recognition +        
Natural Language Classification +        
Dashboards + + + +  
Hadoop integration   + + +  


Watson Machine Learning

This table describes the differences in features between the Watson Machine Learning service on multiple deployment environments. The Watson Machine Learning service on Watson Studio Local 2.1 has the same functionality as on Cloud Pak for Data 2.5.

+ indicates that the feature requires an additional service that might cost extra.

Feature Cloud Pak for Data
as a Service
Cloud Pak for Data
2.5
Cloud Pak for Data
3.0.1
Cloud Pak for Data
3.5.0
Watson Machine Learning
Server Version 2.0.0-1
Deep Learning Experiments  
AutoAI Experiments
Collaboration in deployment spaces  
Deploy models
Deploy functions
Deploy scripts      
Deploy Shiny apps      
Continuous learning        
Performance monitoring  
v4 APIs  
Batch deployments
Online deployments
Core ML deployments
Evaluation jobs    
Deploy from projects    
Import and export deployment spaces    
Watson Machine Learning Accelerator integration   + + +