IBM Knowledge Catalog

IBM Knowledge Catalog data catalog

IBM Knowledge Catalog harvests metadata, with a glossary, data products, data quality scores and AI-generated semantic meaning.

Compare: data catalog tools

• Data Catalog: Catalogs give a self-service way to find and share relational and unstructured assets across the enterprise (now sold as watsonx.data intelligence) (docs).

• Automated Metadata Harvesting: Metadata import pulls asset metadata from connections into projects and catalogs (docs).

• Search & Discovery: Catalog search over asset metadata and properties, with filters (docs).

• AI-Powered Search: The feature matrix lists AI-powered search in catalogs on SaaS and software (docs).

• Custom Fields & Templates: Administrators can customize the properties, relationships and workflows of governance artifacts (docs).

• Business Glossary: Business terms, categories and relationships are core governance artifacts, with Knowledge Accelerator industry vocabularies (docs).

• Usage & Popularity Statistics: Per-asset query or popularity statistics are not documented in the pages reviewed (docs).

• Asset Certification: No formal certified or endorsed label is documented in the pages reviewed (docs).

• Catalog Usage Analytics: Administrative reports exist on paid plans, but their adoption metrics are not described (docs).

• Metadata Propagation: Cascading of terms or classifications from parent to child assets is not documented (docs).

IBM Knowledge Catalog data lineage

IBM Knowledge Catalog shows table, column and end-to-end lineage.

Compare: data lineage tools

• Data Lineage: Data lineage (formerly IBM Manta Data Lineage) is a core feature with column-level visualizations (website).

• Table-Level Lineage: Lineage graphs show dependencies between data assets (website).

• Column-Level Lineage: Lineage visualizations include column-level detail, and OpenLineage import brings column lineage when the facet is present (docs).

• End-to-End Lineage: Software deployments import BI reports, ETL jobs and data models for technical lineage (MANTA Automated Data Lineage) (docs).

• Impact Analysis: Lineage supports dependency investigation and impact analysis, also through the chat agent (website).

• OpenLineage Support: watsonx.data intelligence consumes OpenLineage events and can export lineage in OpenLineage format (docs).

IBM Knowledge Catalog data stewardship

Compare: data stewardship tools

• Data Stewardship: Governance artifacts have stewards and owners, with workflow tasks for curation (docs).

• Review & Approval Workflows: Administrators configure workflows for governance artifacts, and users manage workflow tasks (docs).

• Metadata Automation: Metadata enrichment automatically profiles assets, assigns data classes and terms, and can generate DQ checks (docs).

• Critical Data Elements: No dedicated CDE feature is documented (docs).

• Governance Campaigns: No bulk campaign feature is documented (docs).

• Governance Scorecards: No questionnaire-based scorecards are documented (docs).

IBM Knowledge Catalog data classification

Compare: data classification tools

• Data Classification: Predefined and custom data classes classify columns, and data protection rules act on them (docs).

• Sensitive Data Discovery: Enrichment assigns predefined and custom data classes (personal data types) to columns (docs).

• Data Policy: Data protection rules deny access or mask data based on content, format, meaning or user identity, enforced in governed catalogs (docs).

• Data Masking: Data protection rules mask data with Redact, Substitute or Obfuscate, plus format-preserving advanced masking and masking flows (docs).

• Native Policy Enforcement: Rules are enforced in governed catalogs or IBM's own Data Virtualization and watsonx.data; no push-down to Snowflake or Databricks is documented (docs).

IBM Knowledge Catalog AI features

IBM ships a managed MCP server and a chat agent (April 2026) on top of the catalog.

• AI Features: Gen AI enrichment, AI-powered search and the Data Intelligence Chat Agent (Apr 2026) (blog).

• AI Chat Assistant: The Data Intelligence Chat Agent answers natural-language questions about assets, owners, quality, lineage and glossary terms (blog).

• AI Documentation Generation: Enhanced enrichment with generative AI adds descriptions and labels to assets on SaaS (docs).

• Agentic Metadata Enrichment: Gen AI enrichment runs as jobs; autonomous enrichment agents are not documented (docs).

IBM Knowledge Catalog data compliance

• Data Compliance: Data protection rules, asset activities and Knowledge Accelerator compliance vocabularies (docs).

• Audit Trail: Asset activities record changes to assets in projects and catalogs (paid plans on SaaS) (docs).

• Compliance Reporting: No compliance evidence reports are documented (docs).

• Regulatory Framework Mapping: Knowledge Accelerators are pitched as 'vocabularies for governance and compliance', but asset-to-regulation mapping is not confirmed in the docs reviewed (docs).

• Data Activity Monitoring: Source access monitoring is a separate IBM product line (Guardium) and is not documented here (docs).

• ROPA: No Article 30 register is documented (docs).

• Data Retention Policies: No retention enforcement is documented (docs).

• Data Subject Rights: No DSAR workflow is documented (docs).

IBM Knowledge Catalog collaboration

• Collaboration: Collaboration in projects and catalogs is listed in the feature matrix (docs).

• Alert Notifications: Slack or Teams notifications are not documented (docs).

• Discussions & Annotations: Asset comments or threads are not documented in the pages reviewed (docs).

• Ticketing Integrations: Jira or ServiceNow integration is not documented (docs).

IBM Knowledge Catalog data marketplace

• Data Marketplace: Data Product Hub lets consumers browse, add to a cart and subscribe to data products (docs).

• Self-Service Access Requests: Some data products require an access request and approval before delivery (docs).

• Data Products: Data products are published with data contracts and delivery methods such as delivery to watsonx.data (docs).

• Subscription Management: Consumers subscribe to data products and accept the data contract (docs).

• Data Mesh Support: Domains exist for data products, but federated domain governance is not documented (docs).

IBM Knowledge Catalog data quality

• Data Quality: Data quality rules, SLAs, remediation workflows and asset-level quality scores (docs).

• SQL Table Tests: Data quality rules run in projects (requires DataStage) (docs).

• Data Health Scores: Each asset gets a quality score (weighted average of column scores) with dimension scores and 30/90/180-day trends (docs).

• Data Profiling: Manual and automatic profiling of relational assets (docs).

• Data Contracts: Data contracts in YAML or JSON following the Open Data Contract Standard, with APIs to enforce and retest them (docs).

• Anomaly Detection: IBM marketing mentions anomaly detection, but the docs reviewed don't describe it (docs).

IBM Knowledge Catalog AI governance

• AI Agent Access Governance: The managed MCP server exposes 'governed' metadata, but per-request policy enforcement for agents is not described (blog).

• AI Governance: AI model and agent governance is a separate product, watsonx.governance, not part of Knowledge Catalog (docs).

• AI Asset Inventory: Agent, model and MCP server inventories live in watsonx.governance, a separate product (docs).

• AI Lineage: Model lineage (Governance Graph, Jun 2026) is in watsonx.governance, not the catalog (docs).

• AI Regulatory Compliance: AI regulatory workflows are in watsonx.governance, a separate product (docs).

• AI Model Health Score: Model metrics are in watsonx.governance, a separate product (docs).

IBM Knowledge Catalog master data management

• Reference Data Management: Reference data sets define standard values used to classify data and check consistency (limits per SaaS plan) (docs).

• Hierarchy Management: Reference data hierarchies are not confirmed in the pages reviewed (docs).

• Master Data Management: MDM is a separate product, IBM Master Data Management (Match 360), on the same platform (docs).

• Entity Resolution: Matching is in the separate IBM Master Data Management service (docs).

• Golden Record Management: Golden records are in the separate IBM Master Data Management service (docs).

• Multi-Domain MDM: Not part of Knowledge Catalog; sold separately as IBM Master Data Management (docs).

• MDM Stewardship Workflows: Not part of Knowledge Catalog; sold separately as IBM Master Data Management (docs).

• Data Syndication: Outbound master data publishing is not a catalog feature (docs).

IBM Knowledge Catalog workflows

• Workflows: Watson Data API, managed MCP server and a Python SDK (docs).

• REST / GraphQL API: The Watson Data API covers catalogs, assets, governance artifacts and rules (docs).

• MCP Server: A managed MCP server (Apr 2026) exposes catalog search, lineage, governance workflows and data products to external agents; an open-source version can be self-hosted (blog).

• Python SDK: IBM watsonx.data intelligence SDK for Python covers glossary, DQ validation and data product management (docs).

• dbt Integration: dbt metadata ingestion is not documented in the pages reviewed (docs).

• Browser Extension: No browser extension is documented (docs).

• Webhooks: Outbound webhooks are not documented (docs).

IBM Knowledge Catalog data context layer

• Data Context Layer: The managed MCP server exposes governed metadata as callable tools to external agents (blog).

• Knowledge Graph: The relationship explorer is backed by an optional knowledge graph component on software deployments (docs).

• Semantic Models: Semantic enrichment exists, but machine-readable semantic model generation is not documented (docs).