DataGalaxy Data Catalog

DataGalaxy data catalog

DataGalaxy's catalog maps data assets in a knowledge graph, with a glossary, data products and quality indicators imported from Bigeye and Sifflet.

Compare: data catalog tools

• Data Catalog: Full data catalog with business glossary, lineage, stewardship, classification, and governance campaigns across the modern data stack (website).

• Automated Metadata Harvesting: Out-of-the-box connectors for 100+ data sources automatically sync metadata into the catalog on schedule (website).

• Search & Discovery: Smart global search across all catalog assets with relevance ranking, filters, and AI-powered query understanding (website).

• AI-Powered Search: Blink AI copilot enables natural language search and answers to catalog questions across connected data sources (website).

• Custom Fields & Templates: Fully customizable metadata schemas and object templates per domain or asset type confirmed (website).

• Asset Certification: Certification workflows with steward validation and validation campaigns for asset quality confirmation confirmed (website).

• Catalog Usage Analytics: Self-service analytics of platform usage, with aggregated user activity since Nov 2025 (docs).

• Business Glossary: Business glossary as a core product pillar — term management, ownership tracking, domain organization, and glossary-to-catalog linkage, with a fully open knowledge graph enabling rich semantic relationships (synonyms, antonyms, related concepts, parent/child taxonomy) between terms (website).

• Usage & Popularity Statistics: Usage statistics not explicitly confirmed as a per-asset popularity feature (website).

• Metadata Propagation: Not explicitly confirmed (website).

DataGalaxy data lineage

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

Compare: data lineage tools

• Data Lineage: End-to-end lineage tracking across data sources, processes, and business objects with impact analysis confirmed (website).

• Table-Level Lineage: Dataset-to-dataset dependency lineage across connected sources confirmed (website).

• Column-Level Lineage: Product page states 'real-time, column-level lineage across systems, pipelines, and dashboards', with named connectors for Databricks, Snowflake, Looker, and Power BI (website).

• End-to-End Lineage: End-to-end lineage from source through transformations to reporting confirmed (website).

• Impact Analysis: Impact analysis for understanding downstream effects of upstream changes confirmed (website).

• OpenLineage Support: Not confirmed (website).

DataGalaxy data stewardship

Compare: data stewardship tools

• Data Stewardship: Six official object roles (Owner, Steward, CDO, DPO, Expert, CISO) with workspace-level default owner and steward for new objects (docs).

• Review & Approval Workflows: Campaign workflows define phases, transitions, and assignees, e.g. stewards complete objects, the CDO team validates, and a governance committee gives final approval (docs).

• Governance Campaigns: Campaigns apply a workflow to a selected set of objects and notify the assignees of each phase, e.g. a certification campaign; the feature is in beta (docs).

• Metadata Automation: DataGalaxy Campaigns enable automated governance workflows — classification, certification, and ownership assignment at scale (website).

• Critical Data Elements: Not explicitly confirmed as a dedicated CDE feature (website).

• Governance Scorecards: Not confirmed (website).

DataGalaxy data classification

• Data Policy: Policy management and compliance mapping confirmed (website).

• Sensitive Data Discovery: Automated PII/sensitive data scanner not explicitly confirmed (website).

• Native Policy Enforcement: Not yet researched — this feature was added to the taxonomy on 2026-09-21, after this tool was researched.

• Data Masking: Data masking not confirmed (website).

DataGalaxy AI features

DataGalaxy's Blink assistant works in the browser extension, and its MCP server is read-write since June 2026.

• AI Features: Blink AI copilot, AI-powered glossary generation, and natural language catalog interaction all confirmed (website).

• AI Chat Assistant: Blink AI copilot provides conversational access to catalog knowledge — answers questions about data assets in natural language (website).

• AI Documentation Generation: AI auto-generates business glossary terms and asset descriptions at scale (website).

• Agentic Metadata Enrichment: Not confirmed (website).

DataGalaxy data compliance

• Data Compliance: Compliance mapping and regulatory compliance workflows confirmed (website).

• Regulatory Framework Mapping: Compliance mapping to regulatory frameworks confirmed as a governance capability (website).

• Audit Trail: Not explicitly confirmed as a data-level compliance audit trail (website).

• Compliance Reporting: Not explicitly confirmed as dedicated compliance reporting dashboards (website).

• Data Activity Monitoring: Not confirmed (website).

• ROPA: Not confirmed as a dedicated GDPR Article 30 processing register (website).

• Data Retention Policies: Not confirmed (website).

• Data Subject Rights: Not confirmed (website).

DataGalaxy collaboration

• Collaboration: Team collaboration with discussions, governance campaigns, ownership workflows, and Slack/Teams integration confirmed (website).

• Alert Notifications: Notifications in Microsoft Teams (Mar 2026) (release notes).

• Discussions & Annotations: Comments on objects, logged in the activity log (docs).

• Ticketing Integrations: Not explicitly confirmed (website).

DataGalaxy data marketplace

Compare: data marketplace tools

• Data Marketplace: Marketplace organized by business domain where teams browse and search data and AI products with owners, certification status, glossary links, and output ports (website).

• Self-Service Access Requests: Consumers request access, ask questions, or suggest improvements from the Marketplace; requests are routed to the product owner and tracked in the platform (website).

• Data Products: Data and AI products are published by owners and stewards with descriptions, ownership, usage rules, use cases, and output ports (website).

• Data Mesh Support: Not explicitly confirmed as a data mesh deployment model, though domain-based governance exists (website).

• Subscription Management: Not confirmed (website).

DataGalaxy data quality

• Data Quality: Imports data quality rules and checks from Bigeye and Sifflet and keeps quality indicators per field over time (docs).

• SQL Table Tests: Not confirmed (website).

• Data Health Scores: Not confirmed (website).

• Anomaly Detection: Not confirmed (website).

• Data Profiling: Not confirmed (website).

• Data Contracts: Not confirmed (website).

DataGalaxy AI governance

• AI Governance: An AI Governance add-on (governance of AI use cases and systems) is sold, but not documented yet (pricing).

• AI Asset Inventory: An AI Governance add-on is sold on the pricing page, but no docs describe an AI asset inventory yet (pricing).

• AI Regulatory Compliance: An AI Governance add-on is sold on the pricing page, but no docs describe regulatory frameworks yet (pricing).

• AI Agent Access Governance: Delivers classifications and lineage to agents but documents no enforcement preventing a non-compliant retrieval — only half of what this row requires. Deliberate null, not unresearched (website).

• AI Lineage: Lineage covers data assets only; no training-data-to-model lineage (website).

• AI Model Health Score: No per-model trust or health score (website).

DataGalaxy workflows

• Workflows: APIs, Python SDK, MCP Server, and governance campaign automation all confirmed (website).

• REST / GraphQL API: REST API confirmed for programmatic catalog and governance access (website).

• MCP Server: DataGalaxy MCP Server confirmed — exposes catalog data to AI agents and LLMs (website).

• Python SDK: Python SDK confirmed — available on PyPI for programmatic catalog integration (website).

• Browser Extension: Chrome extension, with the Blink assistant inside it since Jan 2026 (release notes).

• dbt Integration: dbt integration not confirmed (website).

• Webhooks: Not confirmed (website).

DataGalaxy data context layer

• Data Context Layer: MCP server on the knowledge graph, read-write since Jun 2026 (docs).

• Knowledge Graph: Fully open knowledge graph is a core architectural feature — all assets, people, policies, terms, and processes as interconnected graph nodes (website).

• Semantic Models: Not confirmed as automated semantic layer generation (website).