Feature differences between editions

Watson Studio, Watson Machine Learning, and Watson Knowledge Catalog have some differences in features between editions for IBM Cloud and on-premises.

The features listed are the ones available in the most comprehensive plan for each edition.

Watson Studio

This table describes the feature differences between Watson Studio Cloud, Watson Studio Local 2.1, and Watson Studio Desktop. The Watson Studio service on Cloud Pak for Data 2.5 has the same features as Watson Studio Local 2.1.

* indicates that the feature is limited or not available in some offering plans. See Offering plans.

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

Feature Cloud Local 2.1 Desktop
Collaboration in projects  
Jupyter notebooks
JupyterLab    
Data Refinery
Project import and export
Git integration    
Crowd sourced annotation *    
RStudio +  
Remote data sources *
Personal credentials    
Upload data files
Link to data files    
Environment runtimes ✓, +  
Job scheduling  
SPSS Modeler flows +
Neural Network modeler    
Decision Optimization +  
Visual Recognition +    
Natural Language Classification +    
Analytics dashboards + +  
Streams flows +    
Hadoop integration   +  
Watson Knowledge Catalog integration +  


Watson Machine Learning

This table describes the differences in features between Watson Machine Learning Cloud, Watson Machine Learning Server 1.0 for Watson Studio Desktop, and the Watson Machine Learning service for Watson Studio Local 2.1. The Watson Machine Learning service on Cloud Pak for Data 2.5 has the same functionality as on Watson Studio Local 2.1.

* indicates that the feature is limited or not available in some offering plans. See Offering plans.

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

Feature Cloud Local 2.1 Server 1.0
Experiments  
AutoAI  
Spark modeler flows    
Collaboration in deployment spaces  
Deploy models
Deploy functions
Continuous learning    
Performance monitoring
v4 APIs  
Batch deployments
Online deployments
Virtual deployments
Evaluation jobs  
Deploy from projects  
Watson Machine Learning Accelerator integration   +  


Watson Knowledge Catalog

This table describes the differences in features between Watson Knowledge Catalog Cloud, Watson Knowledge Catalog Lite On Prem, which is included with Watson Studio Local 2.1, and the Watson Knowledge Catalog service on Cloud Pak for Data 2.5.

* indicates that the feature is limited or not available in some offering plans. See Offering plans.

+ indicates that the feature requires an additional service or an add-on that might cost extra.

Feature Cloud Local 2.1 Cloud Pak for Data 2.5
Number of catalogs * 1 Unlimited
Number of assets * 50 Unlimited
Number of collaborators * 50 Unlimited
AI powered search and recommendations
Rating and reviewing assets
Collaboration in projects
Data Refinery
Profiling of relational data  
Remote data sources *
Personal credentials  
Basic discovery of assets  
Advanced discovery of assets    
Data quality analysis    
Automated term assignment    
Asset lineage *  
Operational data lineage    
Information assets view    
Predefined classifications  
Custom classifications    
Predefined data classes  
Custom data classes    
Business terms *  
Policies *  
Data protection rules *  
Governance rules    
Reference data sets    
Custom attributes    
Governance artifact workflow    
Information Governance Catalog integration *