DataGalaxy Pricing
Choose the plan that fits your governance maturity, from foundational documentation to trusted enterprise-wide data and AI operations.
DataGalaxy pricing plans
Starter
Build trusted foundations for data and AI. Starter gives teams the essential context, documentation, and visibility needed to support confident usage across the organization.
Get a quote →Includes:
- 1 production instance
- SSO authentication
- Minimum 5 editors
- 2 workspaces
- 5 core connectors
- Unlimited readers
- AI-powered assistance
Professional
Operationalize governance with business context and collaboration. Professional helps organizations standardize usage, track adoption, and align teams around trusted data.
Get a quote →Includes everything in Starter and:
- Minimum 15 editors
- 5 workspaces
- 10 core connectors
- Governance module
- Usage analytics
Enterprise
Scale trusted operations across the enterprise. Enterprise empowers organizations with advanced governance, enterprise-wide context, compliance oversight, and scalable collaboration.
Get a quote →Includes everything in Professional and:
- Minimum 50 editors
- Unlimited workspaces
- Unlimited connectors
- Data Products management
Best for:
Teams building trusted foundations for data and AI, looking to structure, document, and understand their business context quickly.
Best for:
Organizations scaling governance across teams and use cases, with a focus on collaboration, adoption, and trusted decision-making.
Best for:
Large enterprises operationalizing trusted data and AI at scale, with advanced governance, enterprise context management, and cross-domain collaboration.
Start
The essential deployment ideal for small teams. Start building your value-driven data portfolio by mapping Data & Analytics initiatives, tracking use cases & initiatives and collaborating with stakeholders.
Get a quote →Includes:
- x10 Core Users with full access
- x10 Business / Occasional User passes
- x1 Integration
- SaaS hosting in EU or US
- Single sign-on (SSO)
- Basic visualizations
- Customer support from 9h-19h CET (Mon-Fri)
Scale
Unlock full flexibility to build an advanced solution that suits your need and evolve over time. Engage more departments, capture all instances and scale your data value strategy.
Get a quote →Includes:
- Additional Core Users with full access
- Additional Business / Occasional User passes
- Additional Integrations
- SaaS hosting with isolated tenant in selectable region or custom hosting options including private cloud
- Additional SSO & provisioning (SCIM or custom)
- Advanced visualizations
DataGalaxy accelerator add-ons
Pre-built templates are ready to use, helping accelerate key data initiatives such as data products, marketplaces, and AI governance.
Marketplace & Product Lifecycle
Enable definition, publication and discovery of data contracts, data and AI products
AI Governance
Support end-to-end governance of AI use cases and systems, to assess risk, track action plans and ensure regulatory compliance.
AIValueOS
The Operating System for Trusted AI Value
Decide, deliver, and defend AI value – without losing trust or control.
Why teams choose DataGalaxy
End-to-end value governance
The only platform connecting catalog, governance, products, and use cases into one lifecycle, from context to measurable business outcomes.
Built for collaboration
DataGalaxy connects business and technical teams in a shared environment where everyone speaks the same data language and works toward common goals.
Highest user adoption rate
Designed for simplicity and engagement, DataGalaxy helps teams get onboarded fast and keeps them actively involved.
For all teams, not just the data team
From executives to analysts, everyone gets the visibility, context, and insights they need to make better, faster decisions.
Top-rated by Gartner & G2 users
Recognized by leading analysts and loved by users for its ease of use, fast deployment, and tangible impact on data culture.
of governance efforts fail without impact visibility
of CEOs lead data-driven transformation initiatives
of organizations now prioritize cataloging in their data strategies
