At a glance
| Metadata ingestion and connectors | 70+ connectors; plans include 5, 10 or unlimited core connectors |
| Lineage | Yes, automated lineage |
| Business glossary | Yes |
| Stewardship and workflows | Governance module, campaigns and AI data steward |
| Access policies | Not documented in the pages checked |
| Classification | Not documented in the pages checked |
| Search and discovery | Catalog search, browser extension, marketplace and MCP server |
| Deployment | SaaS in the EU or US; isolated tenant or private cloud on higher plans |
| Licensing | Proprietary subscription; Starter, Professional and Enterprise plans by quote |
DataGalaxy suits organisations, particularly in Europe, that want a business-friendly catalog and glossary with lineage, and that also want to manage a portfolio of data and AI use cases. Plan limits are published, which helps scoping, but prices are by quote.
Overview
DataGalaxy presents itself as an "AI context engine" connecting data, AI, ownership and governance. Its Catalog product covers the data catalog, business glossary, automated data lineage, data governance, an AI data steward, data quality monitoring, data products, a visual knowledge studio, a browser extension, campaigns, the Blink AI copilot, an MCP server and a marketplace. It lists more than 70 connectors, including Snowflake, Databricks, Power BI, Looker, Azure Synapse, BigQuery, dbt and OneLake.
A second product, Portfolio, handles AI demand management, an AI use case portfolio, data and AI product management and AI value tracking, with integrations to Alation, Collibra, ServiceNow and Jira. DataGalaxy is SaaS, hosted in the EU or US, with isolated-tenant or private cloud hosting on higher plans; it states SOC 2 certification and GDPR compliance.
Key features
- Data catalog and business glossary with a visual knowledge studio
- Automated data lineage
- Governance module, usage analytics and campaigns for stewardship (Professional and above)
- Data products management (Enterprise plan) and a marketplace
- Blink AI copilot, an AI data steward and an MCP server
- More than 70 connectors to warehouses, lakehouses and BI tools
- Portfolio product for AI use case demand, value tracking and product management
Integrations and ecosystem
Pros and cons
Pros
- Published plan limits make scoping easier than at most catalog vendors
- Unlimited readers on catalog plans
- EU hosting option, SOC 2 and GDPR statements
- Portfolio product covers AI use case governance as well as data
Cons
- No published prices
- Connector counts are capped on Starter and Professional plans
- Access policy and classification features are not described on the pages checked
Pricing
DataGalaxy publishes plan contents but no prices; every plan says "Get a quote". Catalog plans: Starter (1 production instance, SSO, at least 5 editors, 2 workspaces, 5 core connectors, unlimited readers), Professional (at least 15 editors, 5 workspaces, 10 core connectors, governance module, usage analytics) and Enterprise (at least 50 editors, unlimited workspaces and connectors, data products). A second pair of plans, Start (10 core users, 10 business user passes, 1 integration, SaaS in the EU or US) and Scale (isolated-tenant or private cloud hosting, SCIM), is shown without a clear product label.
Pricing checked on the vendor's official page on 7 November 2026. Prices change; confirm before buying.
Who it is best for
European and global organisations that want a business-friendly catalog and glossary with lineage, plus governance of AI use cases, on SaaS with EU hosting.
Typical use cases
- Documenting data assets and business terms for non-technical users
- Mapping lineage across warehouses and BI tools
- Publishing data products for internal consumers
- Tracking AI use cases and their value in a portfolio
Who should look elsewhere
- Teams that need on-premises deployment: see OvalEdge.
- Engineering teams that want an open source catalog they can extend: see DataHub.
Verdict
DataGalaxy offers a business-oriented catalog with glossary, lineage and data products, and a separate portfolio tool for AI use cases, with unusually clear plan limits. It is SaaS and quote-priced, and buyers needing documented access enforcement or on-premises hosting should look elsewhere.
Frequently asked questions
How much does DataGalaxy cost?
DataGalaxy does not publish prices. Its Starter, Professional and Enterprise plans list limits such as editors, workspaces and core connectors, with unlimited readers, and each needs a quote.
Where is DataGalaxy hosted?
SaaS in the EU or US, with isolated-tenant or private cloud hosting on higher plans.
Does DataGalaxy integrate with other catalogs?
Its Portfolio product lists integrations with Alation, Collibra, ServiceNow and Jira.
Sources
Checked November 2026.
Listed in: Data Catalog & Governance.
How we research reviews and what star ratings mean: our editorial method.