Build Trusted Data Products with Business Governance for Databricks
Most organizations have invested heavily in Databricks and Unity Catalog to govern data, manage access, and maintain lineage. Yet business users still struggle to find trusted data, understand ownership, and confidently consume governed assets.
The result? Low data adoption, increased reliance on technical teams, fragmented governance, and AI initiatives that lack trusted business context.
Dataverse bridges the gap between technical governance and business adoption. Built for Databricks, it extends Unity Catalog with business governance, semantic discovery, domain ownership, and data product management—transforming technical metadata into trusted, business-ready data products.
The Missing Layer Between Governance and Adoption
Unity Catalog provides the foundation for metadata management, lineage tracking, access controls, and technical governance. However, technical metadata alone does not help business users understand what data means, who owns it, whether it can be trusted, or how it should be used.
Dataverse adds the business context needed to make governed data discoverable, understandable, and actionable.
By combining governance, ownership, semantic understanding, and AI-powered experiences, Dataverse helps organizations create a scalable framework for trusted data products, enterprise data marketplaces, and AI-ready governance.
Why Dataverse
- Turn Governed Data into Trusted Data Products
Most governance initiatives stop at metadata. Dataverse goes further by transforming governed datasets into business-ready data products enriched with ownership, stewardship, business definitions, governance policies, quality expectations, and AI-ready context.
The result is greater trust, faster adoption, and stronger business outcomes from data and AI investments.
- Improve Data Trust
Provide business users with certified, governed, and trusted data assets backed by clear ownership and accountability.
- Accelerate Data Adoption
Reduce the effort required to discover, understand, and consume enterprise data across domains.
- Enable AI Readiness
Create the business context and governance framework AI applications need to deliver reliable and trustworthy outcomes.
- Scale Governance Across the Enterprise
Support domain-driven governance models with clearly defined ownership, stewardship, and accountability.
- Empower Self-Service Access
Enable business teams to discover and consume governed data without depending on technical experts.
Key Capabilities
Domain Governance
Establish ownership, stewardship, accountability, and governance policies aligned to business domains and organizational structures.
Data Product Governance
Manage data as products with lifecycle controls, business contracts, quality expectations, certification workflows, versioning, and consumer visibility.
Semantic Data Discovery
Help users discover data through business terminology, concepts, and meaning rather than technical object names.
Enterprise Data Marketplace
Create a centralized experience where users can find, understand, and access trusted data products across the organization.
AI-Native Experiences
Enable business users to interact with governed data using natural language experiences powered by Databricks AI services.
Governance Automation
Maintain audit-ready governance through automated policy enforcement, lineage visibility, monitoring, and change tracking
Governance Built for the AI Era
AI applications are only as trustworthy as the data behind them.
As organizations invest in AI assistants, copilots, analytics platforms, and intelligent applications, they need more than metadata management. They need trusted business context, ownership, governance policies, and semantic understanding. Dataverse provides the governance foundation required to make enterprise data AI-ready, helping organizations improve trust, reduce risk, and accelerate AI adoption.
How Dataverse Works
Built on Databricks. Designed for Business Governance.
Dataverse works alongside Unity Catalog, preserving existing investments while extending governance beyond technical metadata.
Databricks Lakehouse
Unity Catalog
Dataverse
Business Users and Data Consumers
- Storage, processing, analytics, machine learning, and AI.
Databricks Lakehouse
- Storage, processing, analytics, machine learning, and AI.
Unity Catalog
Dataverse
Business Users and Data Consumers
Use Cases
- Enterprise Data Marketplace
Enable teams to discover trusted, governed, and business-ready data products from a centralized marketplace.
- Data Mesh Governance
Support domain ownership, federated governance, and decentralized operating models while maintaining enterprise standards.
- AI and Analytics Readiness
Provide trusted business context that improves the reliability of AI assistants, analytics platforms, and decision-making tools.
- Governance Modernization
Extend Unity Catalog with business governance capabilities without replacing existing Databricks investments.
- Self-Service Data Consumption
Empower business users to access, understand, and consume governed data independently.
- Data Product Operating Model
Implement data product governance frameworks that improve ownership, accountability, quality, and adoption
Business Impact
Effective governance should do more than enforce controls. It should improve trust, accelerate adoption, and maximize the value of data investments.
- Stronger Data Trust
Increase confidence in enterprise data through governance, ownership, certification, and accountability.
- Faster Data Adoption
Reduce the time required for users to discover and consume trusted data products.
- Improved Governance Efficiency
Replace fragmented, manual governance processes with scalable, policy-driven governance.
- Greater AI Readiness
Enable AI applications to operate on trusted business context and governed metadata.
- Better Decision-Making
Empower teams with faster access to trusted information that drives more informed business decisions.
Trusted Data. Trusted Decisions.
Extend Governance Beyond Metadata
Discover how Dataverse helps organizations build trusted data products, enable self-service adoption, and establish AI-ready governance on Databricks.
