DataHub Core

DataHub Core data catalog

DataHub Core ingests metadata from 100+ sources, with search, a glossary, domains, data products and structured properties.

Compare: data catalog tools

• Data Catalog: Open-source metadata platform with 100+ ingestion sources, search, glossary, domains and data products, self-hosted under Apache 2.0 (docs).

• Automated Metadata Harvesting: Python ingestion framework with 100+ connectors (new in 2026: Informatica IDMC, Fabric Data Factory, SAP Datasphere, Cube, Pinecone) extracts schemas, lineage and usage on a schedule (docs).

• Search & Discovery: Faceted search across all entity types with filters by platform, domain, owner, tag and glossary term, plus saved Views (docs).

• AI-Powered Search: Semantic search over assets and Context Documents ships in Core (v1.4.0, Feb 2026), and the `datahub search` CLI adds semantic search (v1.5.0) (github).

• Usage & Popularity Statistics: Dataset Usage & Query History shows top queries, top users and query counts per dataset, available in Core and Cloud (docs).

• Custom Fields & Templates: Structured Properties add typed, validated custom fields to any entity, available in Core and Cloud (docs).

• Business Glossary: Business glossary with term groups, owners and related-term relationships is available in Core and Cloud; change proposals for terms are Cloud only (docs).

• Metadata Propagation: The open-source docs-propagation action pushes column descriptions to downstream and sibling columns via lineage, enabled by default in Core (docs).

• Catalog Usage Analytics: Core can emit product analytics events to Mixpanel, Amplitude or Google Analytics, but compliance-form analytics dashboards are Cloud only (docs).

• Asset Certification: The Certification feature is DataHub Cloud only (Public Beta, Context add-on); Core has deprecation flags and tags but no certification (docs).

DataHub Core data lineage

DataHub Core shows table, column and end-to-end lineage with impact analysis, and accepts OpenLineage events.

Compare: data lineage tools

• Data Lineage: Table- and column-level lineage from SQL parsing, connectors, Airflow, Dagster, Spark and OpenLineage, available in Core (docs).

• Table-Level Lineage: Dataset-to-dataset lineage is extracted automatically by connectors and SQL parsing (docs).

• Column-Level Lineage: Fine-grained column-level lineage from SQL parsing and supported connectors is available in Core (docs).

• End-to-End Lineage: Lineage spans ingestion tools, warehouses, orchestrators and BI tools such as Looker, Tableau, Power BI and Sigma (docs).

• Impact Analysis: The lineage explorer and impact analysis view list all downstream dependents of a dataset or column before a change (docs).

• OpenLineage Support: DataHub accepts OpenLineage events through a REST endpoint and maps them to its lineage model (docs).

DataHub Core data stewardship

Compare: data stewardship tools

• Data Stewardship: Custom ownership types, domains and API-driven compliance forms support stewardship in Core; the full forms UI and proposals are Cloud only (docs).

• Governance Campaigns: Compliance Forms assign questions across many assets to owners; in Core they are available via API only (docs).

• Metadata Automation: The open-source DataHub Actions framework runs event-triggered actions on metadata changes (e.g. propagation, Slack notifications) (docs).

• Critical Data Elements: No dedicated CDE register found; criticality can only be modelled with tags, glossary terms or structured properties (docs).

• Governance Scorecards: No questionnaire-based maturity scorecard found in Core docs (docs).

• Review & Approval Workflows: Change proposals and approval workflows are documented as DataHub Cloud only (docs).

DataHub Core data compliance

• Data Compliance: Audit events API and API-driven compliance forms are available in Core; regulatory mapping is not (docs).

• Audit Trail: The audit events search API (/openapi/v1/events/audit/search) records metadata changes and actions, available in Core and Cloud (docs).

• Regulatory Framework Mapping: No GDPR/HIPAA/SOX framework mapping found; regulations can only be modelled as glossary terms (docs).

• Compliance Reporting: Compliance-form analytics dashboards are DataHub Cloud only; Core has no compliance reporting (docs).

• Data Activity Monitoring: DataHub ingests query history for usage stats but does not monitor source access in real time (docs).

• ROPA: No GDPR Article 30 processing register in DataHub (docs).

• Data Retention Policies: Retention settings cover DataHub's own metadata versions, not retention of source data (docs).

• Data Subject Rights: No DSAR or right-to-be-forgotten workflows (docs).

DataHub Core collaboration

• Collaboration: Slack notifications via the open-source Actions framework and Context Documents are available in Core; Teams and Ask DataHub bots are Cloud only (docs).

• Alert Notifications: The open-source Slack action posts metadata-change notifications to Slack channels (docs).

• Discussions & Annotations: Context Documents can be linked to assets, but no threaded discussions on assets were found (docs).

• Ticketing Integrations: No Jira or ServiceNow integration found in Core docs (docs).

DataHub Core data marketplace

• Data Products: Data Products are first-class entities in Core, with multiple products per asset (v1.5.0) and nested products (v1.8.0) (docs).

• Data Mesh Support: Domains (with nested domains and domain-scoped policies) and data products support federated ownership in Core (docs).

• Data Marketplace: The Data Product Marketplace browse page and access workflows are DataHub Cloud features (Cloud v2.2.0) (docs).

• Self-Service Access Requests: Data Access Workflows are DataHub Cloud only (Private Beta) (docs).

• Subscription Management: Subscriptions and notifications are marked DataHub Cloud only (docs).

DataHub Core data quality

Compare: data contracts tools

• Data Quality: Core stores and displays assertions and incidents, including Snowflake DMF assertions and external results (dbt, Great Expectations); native monitors are Cloud only (docs).

• SQL Table Tests: The open assertions spec compiles freshness, volume, column and custom SQL assertions to Snowflake DMFs from the CLI (docs).

• Data Profiling: SQL sources can compute table and column profiles (row counts, null counts, min/max, distinct values) during ingestion (docs).

• Data Contracts: Data contracts bundling schema, freshness and quality assertions can be created via the GraphQL API; ODCS ingestion added in v1.7.0 (docs).

• Data Health Scores: The Data Health dashboard is marked DataHub Cloud only (docs).

• Anomaly Detection: AI anomaly detection is marked DataHub Cloud only (docs).

DataHub Core AI governance

• AI Governance: MLModel, MLModelGroup and MLFeature entities catalog models with owners and training data alongside datasets (docs).

• AI Asset Inventory: MLModel entities carry versions, owners, hyperparameters and metrics; the Agent Registry for AI agents is Cloud only (docs).

• AI Lineage: MLModel aspects link models to their training and evaluation datasets in the lineage graph (docs).

• AI Agent Access Governance: The self-hosted MCP server acts with a token's privileges, but query-time Search Access Controls are DataHub Cloud only (docs).

• AI Regulatory Compliance: No EU AI Act, NIST AI RMF or ISO 42001 templates; model metadata only (docs).

• AI Model Health Score: No composite model trust score (docs).

DataHub Core workflows

• Workflows: GraphQL, OpenAPI, Python and Java SDKs, the Actions framework and a self-hosted MCP server are available in Core (docs).

• REST / GraphQL API: GraphQL API plus OpenAPI/REST endpoints for reading and writing metadata (docs).

• MCP Server: A self-hosted MCP server is documented for DataHub Core; managed and scoped MCP servers are Cloud only (docs).

• dbt Integration: The dbt source ingests models, sources, tests, docs and column-level lineage from dbt Core and dbt Cloud (docs).

• Python SDK: pip-installable acryl-datahub package with emitters and a high-level Python SDK (pypi).

• Webhooks: No built-in outbound webhook; custom actions can be written with the Actions framework (docs).

• Browser Extension: The Chrome extension is documented under DataHub Cloud only (docs).

DataHub Core data context layer

• Data Context Layer: Metadata graph, Context Documents, Metrics and Semantic Models (beta) and the MCP server are available in Core; ontology/SPARQL is Cloud only (docs).

• Knowledge Graph: DataHub's core architecture is a typed metadata graph of entities and relationships queryable via GraphQL (docs).

• Semantic Models: Metrics and Semantic Models are first-class entities in Core (Beta, v1.7.0) with lineage through metric upstreams; they are cataloged and linked rather than auto-generated (docs).