Collibra Data Governance

Collibra data catalog

Collibra's catalog harvests metadata from databases, warehouses, ETL and BI tools, with a business glossary, certification and AI search through Collibra Maestro.

Compare: data catalog tools

• Data Catalog: Catalog application integrates metadata from databases, data lakes, warehouses, enterprise apps, ETL, and BI tools via Edge, and enriches assets with profiling, sample data, lineage, and data classes (docs).

• Automated Metadata Harvesting: Automatically connects to cloud platforms, databases, BI tools, and enterprise apps via 100+ native integrations to extract schemas, tables, and pipeline metadata (website).

• Search & Discovery: Advanced search with filters by business domain, owner, system, and classification across all catalog assets (website).

• AI-Powered Search: Collibra Maestro (formerly AI Copilot) lets users search the catalog in plain language and returns matching assets (website).

• Usage & Popularity Statistics: Usage monitoring tracks adoption patterns and real-time insights on asset-level access frequency (website).

• Custom Fields & Templates: Flexible asset type configuration with custom attributes and templates; communities and domains can define domain-specific metadata schemas (website).

• Asset Certification: Data certification labels (certified, deprecated) applied to assets as trust signals for downstream consumers; certification is workflow-driven (website).

• Catalog Usage Analytics: Dedicated Analytics module tracks catalog-wide adoption, user engagement, and governance program health via dashboards (docs).

• Business Glossary: Foundational Collibra feature — term creation, asset linking, and status lifecycle, with named stewards who approve terms before publication and rich semantic relationships (synonyms, antonyms, parent/child hierarchies) between terms (docs).

• Metadata Propagation: Automated classification propagates from parent assets to children; classification changes cascade downstream through the semantic graph (website).

Collibra data lineage

Collibra shows table, column and end-to-end lineage with impact analysis.

Compare: data lineage tools

• Data Lineage: Dedicated Data Lineage product covering table-level, column-level, and end-to-end lineage across ~40 data sources with OpenLineage support (website).

• Table-Level Lineage: Technical lineage supports Table as an asset type and shows data flow through tables across systems (docs).

• Column-Level Lineage: Provides 'complete end-to-end lineage, to visualize the journey of the data objects, including temporary tables and columns'; Column is an explicitly supported asset type (docs).

• End-to-End Lineage: Maps the entire data lifecycle, showing data flow of all data objects across databases regardless of whether assets exist in Collibra (docs).

• Impact Analysis: Documented use case: 'Collibra Data Lineage can help you assess the potential impact of changes on downstream systems, data and reports.' (docs).

• OpenLineage Support: Explicit OpenLineage standard support providing 'complete visibility across your data landscape.' (website).

Collibra data stewardship

Collibra's workflows cover approvals, certification and stewardship campaigns, the core of its governance programs.

Compare: data stewardship tools

• Data Stewardship: Responsibilities assign users or groups to resource roles on a community, domain, or asset (inherited downward), and workflows route stewardship tasks such as issue routing and ownership assignment (docs).

• Review & Approval Workflows: Assessments Approval workflow triggers on submission, creating Assessment Review assets with 'Under Review' status that require Business Steward approval or rejection; BPMN/Groovy workflow designer supports custom processes (docs).

• Governance Campaigns: Collibra Workflow allows bulk governance operations — policy campaigns, ownership assignment drives, and certification programs — targeting many assets at once (docs).

• Metadata Automation: BPMN-based workflow engine with a Workflow Designer automates governance actions — tagging, notifications, certifications — triggered by events or schedules (docs).

• Critical Data Elements: Not explicitly mentioned in product pages or docs reviewed; Collibra's flexible asset type system could support CDE registries, but no dedicated CDE feature confirmed (website).

• Governance Scorecards: An 'Assessment' module is listed in the docs navigation, but maturity scorecards or governance health scoring were not confirmed in the product pages reviewed (docs).

Collibra data classification

Compare: data classification tools

• Sensitive Data Discovery: Automatic data classification assigns data classes using up to 25 rules per class: column-name regex, data type, lists of values, and value regex checked against samples, with a minimum confidence threshold. Not available on self-hosted (docs).

• Data Policy: Access policies defined in Data Access are automatically translated into the native access controls the underlying data source understands, covering roles, column masks, and row filters (docs).

• Native Policy Enforcement: Access controls defined in Data Access 'are automatically translated into the native access controls that your data sources understand' — Snowflake role-based access control, BigQuery access control lists, and Databricks — with both inbound and outbound synchronization (docs).

• Data Masking: Column masks control how sensitive columns appear and row filters control which rows a user sees, with time-bound access provisioning and dynamic attribute-based rules driven by tags (docs).

Collibra AI features

Collibra Maestro answers plain-language questions about the catalog and builds agents. AI Command Center (May 2026) governs AI models and agents in one place.

• AI Features: AI Copilot for natural language search, AI-generated asset descriptions, automated classification, and agentic metadata enrichment all confirmed (website).

• AI Chat Assistant: Collibra Maestro (formerly AI Copilot) answers plain-language questions about the catalog, from simple lookups to multi-step reasoning across lineage and asset context (website).

• AI Documentation Generation: Automatically classifies data and generates clear descriptions for assets at catalog ingestion time (website).

• Agentic Metadata Enrichment: AI-driven stewardship automates curation, classification, and description generation at scale without human review of each asset (website).

Collibra data compliance

• Data Compliance: Audit trails, GDPR and CCPA process registries, regulatory framework mapping, and audit-ready compliance reporting all confirmed (website).

• Audit Trail: Fully auditable trail tracking who accessed what, when, and why across data products and governance actions — used for regulatory reporting (website).

• Compliance Reporting: Audit-ready reporting for customers and regulators, summarizing privacy actions, policy coverage, and compliance outcomes (website).

• Regulatory Framework Mapping: Data assets and processes linked to GDPR, CCPA, HIPAA, and other frameworks with consolidated visibility and gap analysis (website).

• ROPA: GDPR Process Registry provides consolidated visibility into GDPR-relevant processing activities — consistent with GDPR Article 30 ROPA requirements (website).

• Data Activity Monitoring: Collibra tracks governance-level audit trails and access provisioning logs, but real-time source-level data access monitoring (DAM) was not confirmed (website).

• Data Retention Policies: Not confirmed in product pages reviewed (website).

• Data Subject Rights: Not explicitly mentioned as a feature; GDPR compliance is supported but DSAR automation and right-to-be-forgotten workflows were not confirmed (website).

Collibra collaboration

• Collaboration: Discussions, community ratings/reviews on data products, Jira/ServiceNow ticketing, and Slack/Teams alert integrations all confirmed (website).

• Alert Notifications: Workflows integrated into Slack and Microsoft Teams — governance alerts and collaboration surfaced where teams work (website).

• Discussions & Annotations: Community ratings, reviews, and comments on data products in the marketplace; Data Notebook supports collaborative querying and documentation on assets (website).

• Ticketing Integrations: Integration with Jira and ServiceNow confirmed — access requests and governance workflows route directly to these systems (website).

Collibra data marketplace

Compare: data marketplace tools

• Data Marketplace: Dedicated Data Marketplace product with shopping-like interface for discovering and requesting packaged data products, with approval workflows (website).

• Self-Service Access Requests: Consumers request access from the Data Marketplace and track the status of their access requests from their user profile (docs).

• Data Products: Packaged data products with documented purpose, ownership, and quality guarantees — supporting datasets, refined tables, feature sets, reports, dashboards, and APIs (website).

• Data Mesh Support: Data mesh patterns not explicitly confirmed as a first-class deployment model in Collibra (docs).

• Subscription Management: Not explicitly confirmed; community ratings and reviews on data products exist, but automatic subscription-based change notifications were not confirmed (website).

Collibra data quality

• Data Quality: Dedicated Data Quality & Observability product with rule builder, anomaly detection, health scores, profiling, and remediation workflows (website).

• SQL Table Tests: Custom SQL queries to perform targeted checks, plus row count checks as a monitoring option (docs).

• Data Health Scores: Data quality scores automatically shown on Column, Table, Schema, Database, and Database View asset pages; extensible to other asset types via custom aggregation paths (docs).

• Anomaly Detection: Identifies and enables action on data anomalies as soon as they are observed, supported through instant alerting (docs).

• Data Profiling: Profiling from basic schema profiling to granular table-level analysis, including descriptive statistics such as minimum and maximum values (docs).

• Data Contracts: Data contract definition for technical specifications and quality guarantees confirmed on the catalog product page — goes beyond simple YAML monitor configuration (website).

Collibra AI governance

Collibra inventories AI models and agents, assesses them against the EU AI Act, NIST AI RMF and AIUC-1, and requires steward approval.

• AI Governance: Dedicated AI Command Center with a consolidated registry unifying AI Use Case, AI Model (incl. AI Model Version, AI Base Model), AI Agent, and AI Project assets into a single repository, with lifecycle stages, risk assessments, and approval workflows (docs).

• AI Asset Inventory: Consolidated registry is the 'centralized, one-stop repository for all AI-related assets' — AI Use Cases, AI Models, AI Agents. Model Registry manages models and agents through defined lifecycle stages, with out-of-the-box ingestion of ML model metadata from 11+ platforms (AWS SageMaker, Azure ML, Databricks, OpenAI) (docs).

• AI Lineage: Automated Traceability 'identifies and surfaces the relationships between your AI assets — connecting AI models to the AI use cases they serve, and to the data assets they depend on.' Data lineage traces the end-to-end flow of data into and through AI models (docs).

• AI Regulatory Compliance: Out-of-the-box EU AI Act, NIST AI RMF and AIUC-1 assessments with an approval workflow, extended by the trail ML acquisition (Oct 2026) for automated EU AI Act, ISO 42001 and NIST assessments (docs).

• AI Model Health Score: AI Trust Score metric aggregates governance health across AI portfolios; use case risk distribution matrix shows how use cases are distributed across risk and safeguard levels (docs).

• AI Agent Access Governance: Guardian Agents enforce Agent Contracts at runtime and can block agent actions outside policy, but they are in private preview (Nov 2026), so not counted yet (docs).

Collibra master data management

• Reference Data Management: Reference Data manages Code Set and Code Value assets and maps code values between systems through Crosswalk assets that document transformation logic and exceptions (docs).

• Hierarchy Management: Not confirmed as a dedicated feature; communities and domains provide organizational structure but formal hierarchy management for master data entities was not confirmed (website).

• Master Data Management: Collibra does not have MDM capabilities — no entity resolution, golden records, or cross-system deduplication. Stewardship workflows exist but are catalog-level, not MDM (website).

• Entity Resolution: No MDM capabilities confirmed (website).

• Golden Record Management: No MDM capabilities confirmed (website).

• Multi-Domain MDM: No MDM capabilities confirmed (website).

• MDM Stewardship Workflows: Collibra has catalog stewardship workflows, not MDM-specific record merge/split review queues (website).

• Data Syndication: No outbound master data publishing capability confirmed (website).

Collibra workflows

• Workflows: REST API, GraphQL API, Python SDK, MCP Server, dbt integration, browser extension all confirmed (docs).

• REST / GraphQL API: 'Create, update, and read data from the Collibra Platform with the REST and GraphQL APIs', plus a CLI and BPMN/Groovy workflow automation (docs).

• MCP Server: Collibra CHIP MCP server is open-source on GitHub and also available in the Databricks Marketplace — exposes governed metadata to AI agents (docs).

• dbt Integration: dbt Cloud and dbt Core integrations in Collibra Marketplace — imports lineage, models, tests, and documentation; ingests dbt manifest.json (docs).

• Python SDK: collibra-core Python package available on PyPI (pip install collibra-core); additional packages for importer and other APIs also available (docs).

• Browser Extension: Collibra Everywhere browser extension for Chrome and Edge surfaces catalog metadata within Tableau, Power BI, Snowflake, Salesforce, Jira, Confluence, and SharePoint (docs).

• Webhooks: Event notifications exist within the BPMN workflow engine but outbound webhook callbacks to arbitrary external URLs were not explicitly confirmed (docs).

Collibra data context layer

• Knowledge Graph: Collibra calls it the 'Semantic Graph'; a dedicated Knowledge Graph GraphQL API was launched for retrieving communities, domains, assets, and complex relations as a property graph (docs).

• Semantic Models: The semantic layer connects business glossary terms and policies to physical tables and columns, generating machine-readable context for AI Copilot and BI tools (website).