Databricks launches internal data marketplace

Databricks unveils Discover and Domains in public preview, an internal marketplace and context layer designed to improve data discovery and AI agent reliability.

Jul 21 at 8:31 PM6 min read

Databricks Discover and Domains interface screenshot — Databricks' new Discover page and Domains feature are now in public preview.

Visual TL;DR. Complex Data/AI Estates leads to Errors & Flawed Metrics. Complex Data/AI Estates addresses Databricks Discover. Databricks Discover uses Unity Catalog Power. Databricks Discover includes Domains Feature. Databricks Discover provides Centralized Hub. Centralized Hub enables Improved Discovery. Improved Discovery results in Reliable AI Agents.

Complex Data/AI Estates: growing complexity makes finding relevant, high-quality, and secure assets challenging
Errors & Flawed Metrics: AI agents use incorrect data, business users employ flawed metrics
Databricks Discover: new internal data and AI marketplace for streamlined asset discovery
Unity Catalog Power: initiative powered by Unity Catalog to streamline data asset utilization
Domains Feature: data stewards customize experience by creating business-area domains
Centralized Hub: users browse and locate tables, dashboards, notebooks, and AI agents
Improved Discovery: navigate by business areas, search certified assets, AI-driven recommendations
Reliable AI Agents: improves data discovery and AI agent reliability for better outcomes

Visual TL;DRQuickExplainDeeper

Databricks is rolling out the public preview of its new internal data and AI marketplace, dubbed Discover, alongside a feature called Domains. This initiative, powered by Unity Catalog, aims to streamline how organizations find and utilize their data assets.

The growing complexity of data and AI estates makes it challenging for both human users and automated agents to identify relevant, high-quality, and secure assets. This can lead to significant errors, such as AI agents relying on incorrect data or business users employing flawed metrics.

Discover provides a centralized hub for users to browse and locate assets like tables, dashboards, notebooks, and AI agents. Instead of sifting through technical schemas, users can navigate by business areas, search for certified assets, and gain confidence in the data they find.

AI-driven recommendations, highlighting popular and certified content, further enhance asset discovery. Data stewards can customize this experience by creating domains that align with business structures, such as departments or geographical regions.

Domains: Context for AI Agents

Domains serve as a crucial business-context layer, organizing data and AI assets around how a business operates. This structure helps AI agents understand which assets are relevant and trustworthy within specific business areas, leading to more reliable outputs.

By extending Unity Catalog semantics, Domains capture an organization's understanding of its data in business terms. This context directly feeds into systems like Genie Ontology, enabling agents to locate and use the appropriate assets while respecting existing user permissions.

The system is designed to reduce the risk of agents misinterpreting business concepts or overlooking critical data. As organizations increasingly rely on AI, this contextual layer is vital for ensuring accuracy and efficiency.

The Discover page and Domains are available in public preview starting today. Databricks encourages users to explore these new features to begin curating trusted assets and building a stronger foundation for their organization's AI initiatives.

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#Databricks #Unity Catalog #Data Marketplace #AI Governance #Data Discovery