Overview
At DataGalaxy, we believe business value only happens when strategy, technology, and teams move in the same direction. Metadata is the foundation that makes this possible, turning alignment into measurable results.
The platform is built around four complementary products:
Metadata Center: Provides context and visibility across all data assets by connecting to sources, automating lineage, tagging sensitive information, and delivering the clarity needed to understand and trust data.
Governance Hub: Turns policies into actionable rules and real-time monitors, ensuring compliance and building trust for governance and risk teams.
Product Hub: Packages datasets, dashboards, and AI models into reusable, certified data products, enabling product owners to deliver trusted assets and business users to adopt them with confidence.
Strategy Center: Connects every use case and portfolio to business objectives, giving executives the visibility they need to prioritize investments and track value.
DataGalaxy goes beyond governance. The platform enables collaboration between business and technical teams, giving everyone a shared language and transparent ownership of data. With AI-powered assistants, documentation is automated, sensitive data is flagged, and discovery is accelerated through natural language search and intelligent suggestions.
Together, these modules and capabilities help organizations structure use cases, manage their portfolio, consolidate metadata, and govern assets at scale. The result is faster execution, trusted data and AI products, and clear evidence of business impact.
By combining enablement, collaboration, and AI-driven automation, DataGalaxy transforms governance from a compliance exercise into a catalyst for value creation.
Founded in Europe and rapidly expanding worldwide, DataGalaxy is trusted by more than 200 global enterprises, including Dior, Airbus, and SwissLife. Our mission is to help organizations transform governance into value by turning data and AI into trusted, measurable business outcomes.
Highlights
- Accelerate execution with connected metadata and automation
- Build trust and ensure compliance through operational governance
- Drive adoption with certified data and AI products in one marketplace
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Standard | 5 contributors + unlimited readers | $52,000.00 |
TEAM Catalog Subscription | TEAM PACK CATALOG | $52,000.00 |
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no refounds
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Delivery details
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Customer reviews
A comprehensive and accessible tool to strengthen governance and trust in data
Moreover, the richness of the connectors is a real asset: it allows for simple integration of DataGalaxy with tools like Power BI, Snowflake, or Oracle, thus limiting manual entries.
The price is also competitive compared to other solutions on the market, without impacting performance, even on complex lineages.
Regarding the tool's most advanced features (lineage, connections between objects, construction of MCD-type schemas), the user experience remains generally satisfactory but could still be improved. That said, the product teams are attentive, and most of these points already seem to be identified in their roadmap.
Moreover, while the essential features are very accessible, mastering some advanced features requires a learning period, especially for users less experienced in data governance.
However, this remains logical given the functional richness of the tool, and the documentation as well as the support facilitate skill development.
Moreover, the solution allows us to meet the regulatory requirements of Solvency II by providing a clear and up-to-date view of our data lineages to the regulatory body.
The whole contributes to strengthening governance processes and supporting the company's compliance and management challenges.
Intuitive interface and clear data mapping
Clear data mapping
Among the main advantages: a considerable time saving, increased confidence in data quality, etc.
Ergonomic Business Tool around data knowledge and excellent publisher support
good data-catalog. Right features for our needs (dictionnary, glossary, traitments and usages).
great features
some functions are not mature and homogeneous