Feature differences for core service between deployment environments

The Cloud Pak for Data as a Service core services of Watson Studio, Watson Machine Learning, and Watson Knowledge Catalog have some feature differences between those services in other deployment environments.

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

Watson Studio

This table describes the feature differences between the Watson Studio service in Cloud Pak for Data as a Service, in Cloud Pak for Data 2.5, in Cloud Pak for Data 3.0.1, and in Watson Studio Desktop. 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. See Offering plans.

+ 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
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 + + +  
Streams flows + + +  
Hadoop integration   + +  
Watson Knowledge Catalog integration +  


Watson Machine Learning

This table describes the differences in features between the Watson Machine Learning service on Cloud Pak for Data as a Service, Watson Machine Learning Server 1.x for Watson Studio Desktop, the Watson Machine Learning service for Cloud Pak for Data 2.5, and the Watson Machine Learning service for Cloud Pak for Data 3.0.1. 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.
* indicates that the feature is limited or not available in some offering plans. See Offering plans.

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


Watson Knowledge Catalog

This table describes the differences in features between the Watson Knowledge Catalog service in Cloud Pak for Data as a Service, Watson Knowledge Catalog Lite On Prem, which is included with Watson Studio Local 2.1, the Watson Knowledge Catalog service on Cloud Pak for Data 2.5, and the Watson Knowledge Catalog service on Cloud Pak for Data 3.0.1.

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

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

Feature Cloud Pak for Data
as a Service
Watson Studio
Local 2.1
Cloud Pak for Data
2.5
Cloud Pak for Data
3.0.1
Number of catalogs * 1 Unlimited Unlimited
Number of assets * 50 Unlimited Unlimited
Number of collaborators * 50 Unlimited 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 data curation    
Data quality analysis    
Automated term assignment    
Asset activities *  
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 *