IBM watsonx as a Service and Cloud Pak for Data as a Service have similar platform functionality and are compatible in many ways. The watsonx platform provides a subset of the tools and services that are provided by Cloud Pak for Data as a Service. However, watsonx.ai on watsonx provides more functionality than the same set of tools on Cloud Pak for Data as a Service.
The following illustration summarizes the similarities and differences between watsonx and Cloud Pak for Data as a Service.
Common platform functionality
The following platform functionality is common to both watsonx and Cloud Pak for Data as a Service:
- Security, compliance, and isolation
- Compute resources for running workloads
- Global search for assets across the platform
- The Platform assets catalog for sharing connections across the platform
- Role-based user management within workspaces
- A services catalog for adding services
- View compute usage from the Administration menu
- Connections to remote data sources
- Connection credentials that are personal or shared
- Sample assets and projects
If you are signed up for both watsonx and Cloud Pak for Data as a Service, you can switch between platforms. See Switching your platform.
Services on each platform
Both platforms provide services for data science and MLOps use cases:
- Watson Studio
- Watson Machine Learning
However, these services for watsonx.ai on the watsonx platform include features for working with foundation models and generative AI that are not included in these services on Cloud Pak for Data as a Service.
Cloud Pak for Data as a Service also provides services for these use cases:
- Data integration
- Data governance
- AI governance
Data science and MLOps tools
Both platforms provide a common set of data science and MLOps tools. However, on watsonx, you can also perform foundation model inferencing with the Prompt Lab tool or in notebooks. Foundation model inferencing and the Prompt Lab tool are not available on Cloud Pak for Data as a Service.
The following table shows which data science and MLOps tools are available on each platform.
| Tool | On watsonx? | On Cloud Pak for Data? |
|---|---|---|
| Prompt Lab | ✓ | |
| Data Refinery | ✓ | ✓ |
| Visualizations | ✓ | ✓ |
| Jupyter notebooks | ✓ | ✓ |
| Federated learning | ✓ | ✓ |
| RStudio IDE | ✓ | ✓ |
| SPSS Modeler | ✓ | ✓ |
| Decision Optimization | ✓ | ✓ |
| AutoAI tool | ✓ | ✓ |
| Watson Pipelines | ✓ | ✓ |
| Synthetic Data Generator | ✓ |
If you are signed up for Cloud Pak for Data as a Service, you can access watsonx and you can move your projects and deployment spaces that meet the requirements from one platform to the other. See Switching the platform for a project and Switching the platform for a deployment space.
Learn more
- Switching your platform
- Switching the platform for a project
- Switching the platform for a deployment space
- Overview of IBM watsonx as a Service
- Foundation models
Parent topic: Overview of IBM watsonx.ai