Differences between IBM Knowledge Catalog editions
IBM Knowledge Catalog is available in three editions: IBM Knowledge Catalog, IBM Knowledge Catalog Standard, and IBM Knowledge Catalog Premium
Depending on the edition, IBM Knowledge Catalog includes different capabilities:
| Capability | IBM Knowledge Catalog Base |
IBM Knowledge Catalog Standard Standard |
IBM Knowledge Catalog Premium Premium |
|---|---|---|---|
| Collaboration in projects and catalogs | Yes | Yes | Yes |
| Governed catalogs | Yes | No | Yes |
| Asset ratings and reviews in catalogs | Yes | Yes | Yes |
| Asset recommendations in catalogs | Yes | Yes | Yes |
| Asset activities | Yes | Yes | Yes |
| Governance artifacts organized in categories where access is controlled with collaborator roles: • Business terms • Reference data sets • Predefined and custom data classes • Predefined and custom classifications • Policies • Governance rules |
Yes | Yes | Yes |
| Data protection rules | Yes | No | Yes |
| Knowledge Accelerators | Yes | Yes | Yes |
| Custom asset types, custom properties for assets and artifacts, and custom relationships | Yes | Yes | Yes |
| Data quality SLA rules | Yes | Yes | Yes |
| Data quality constraints on business terms | Yes | Yes | Yes |
| Profiling of individual assets in projects and catalogs | Yes | Yes | Yes |
| Metadata import tool in projects to import asset metadata into a project or a catalog | Yes | Yes | Yes |
| Metadata enrichment tool in projects for these tasks: • Profiling data • Automatic generation of data quality checks • Manual adjustment of generated data quality checks • Manual addition of data quality checks for assets and columns • Running enabled data quality checks • Automatic assignment of governance artifacts to data assets • Publishing of data assets and enrichment results to a catalog of choice |
Yes | Yes | Yes |
| Data quality SLA assessment in metadata enrichment | Yes | Yes | Yes |
| Gen AI based capabilities in metadata enrichment: • Expansion of asset and column names • Semantic descriptions for assets and columns • Gen AI based term assignment Enabling these capabilities is optional. You can enable them during installation or at any time later. See Determining the optional features to enable in the IBM Software Hub documentation. |
No | Yes | Yes |
| Data quality rules (can optionally be enabled ) | Yes | No | Yes |
| Workflows | Yes | Yes | Yes |
| Administrative reports | Yes | Yes | Yes |
| Lineage provided through the IBM Manta Data Lineage service or the separately installable and separately priced MANTA Automated Data Lineage for IBM Cloud Pak for Data service | Yes | Yes | Yes |
| Data Privacy service can be separately installed for delivering masked data sets in projects with masking flows | Yes | No | Yes |
| Knowledge Graph for data lineage information in catalogs, the relationship explorer, and business-term relationship search (can optionally be enabled) | Yes | Yes | Yes |
| Data Refinery tool in projects for preparing and visualizing data. | Yes | Yes | Yes |
| Data migration from InfoSphere Information Server | Yes | No | Yes |
| LLM-based search for assets and artifacts (can optionally be enabled) | No Yes | Yes |
Remember:
If you are using the IBM Knowledge Catalog Standard service, you do not have access to rule enforcement and protection of data features. You can see these features and tasks in the user interface, functions, and documentation, but you cannot use them. Specifically, you cannot do any of the following tasks:
- Create new data protection rules
- Manage rule settings
- Permanently enforce rules on governed catalogs
- Configure protection solutions for data source definitions
To use these features and do these tasks, you need one of the following editions or platform offerings:
- IBM Knowledge Catalog as included in your Cloud Pak for Data license
- IBM Knowledge Catalog Premium
- IBM watsonx
- watsonx.data intelligence
Planning tasks
- Planning to set up IBM Knowledge Catalog
- Planning to implement a governance framework
- Planning to protect data with rules
- Planning to curate data
- Planning to monitor IBM Knowledge Catalog
Parent topic: Planning to implement data governance