DataGalaxy
Active metadata management software
Machine learning data catalog software
Data governance tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Banking and insurance
- Information technology and software
- Healthcare and life sciences
What is DataGalaxy
DataGalaxy is a data governance platform that combines a business glossary, data catalog, and governance workflows to help organizations document, find, and standardize data definitions. It is used by data governance teams, data owners/stewards, and analytics stakeholders to manage terminology, ownership, and lineage-related context across data assets. The product emphasizes collaboration features and a user-oriented interface to drive adoption outside of purely technical teams. It typically integrates with common data platforms to ingest metadata and support catalog search and documentation.
Business glossary and stewardship
DataGalaxy provides structured glossary capabilities to define business terms, assign owners, and manage stewardship responsibilities. This supports consistent definitions across teams and reduces ambiguity in reporting and analytics. Governance teams can use workflows and review cycles to keep definitions current. The focus on business-facing documentation can help align non-technical stakeholders with data producers.
Collaboration-oriented governance workflows
The platform supports collaborative processes such as proposing changes, reviewing definitions, and coordinating stewardship tasks. This can reduce reliance on ad hoc documents and email-based approvals. Centralized discussion and validation around terms and assets helps create an auditable governance trail. These capabilities are useful when multiple domains contribute to shared metrics and datasets.
Catalog search and discovery
DataGalaxy includes catalog and search functions to help users locate datasets and understand associated context such as definitions and ownership. This supports self-service discovery for analysts and data consumers who need to identify the right source for a use case. Metadata-driven navigation can reduce time spent asking platform teams for guidance. The catalog is typically positioned as a bridge between technical metadata and business meaning.
Connector coverage varies by stack
Metadata ingestion quality depends on available connectors and the depth of integration with specific databases, BI tools, and data pipelines. In environments with many niche or legacy systems, teams may need additional effort to onboard sources or maintain integrations. This can affect freshness of metadata and completeness of lineage-like context. Buyers should validate required sources and integration methods during evaluation.
Advanced lineage may require setup
End-to-end lineage and impact analysis often depend on integrating multiple upstream tools and standardizing metadata capture. Organizations may need to invest in modeling, naming conventions, and governance processes to make lineage consistently usable. If lineage is a primary requirement, the practical results can vary by architecture and integration maturity. This can lengthen time-to-value for complex data estates.
Enterprise governance depth may differ
Some large enterprises require extensive policy management, fine-grained controls, and broad compliance reporting across many domains. Depending on requirements, teams may find gaps in highly specialized governance features or need complementary tooling and processes. Scaling governance across federated organizations can also increase administrative overhead. A detailed requirements mapping is important for regulated or highly distributed environments.
Plan & Pricing
Quote-based pricing (no public price tiers listed). Official site states DataGalaxy provides a quote-based / tailored pricing model and asks prospective customers to request a demo or contact sales for a personalized quote. The site does not publish standard subscription tiers, per-user/month amounts, or pay-as-you-go SKUs for the DataGalaxy product.
Seller details
DataGalaxy
Paris, France
Private
https://www.datagalaxy.com/
https://x.com/DataGalaxy
https://www.linkedin.com/company/datagalaxy/
