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.

Daniel Singer

Editor, StartupHub.ai

Jul 21 at 8:31 PMUpdated Aug 22, 20262 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 EstatesDriver

From the articleThe 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.

Errors & Flawed MetricsOutcome

From the articleThis can lead to significant errors, such as AI agents relying on incorrect data or business users employing flawed metrics.

Databricks DiscoverCore

new internal data and AI marketplace for streamlined asset discovery

From the article 4 mentionsDatabricks is rolling out the public preview of its new internal data and AI marketplace, dubbed Discover, alongside a feature called Domains.

Unity Catalog PowerContext

From the article 2 mentionsThis initiative, powered by Unity Catalog, aims to streamline how organizations find and utilize their data assets.

Domains FeatureContext

data stewards customize experience by creating business-area domains

From the article 6 mentionsDatabricks is rolling out the public preview of its new internal data and AI marketplace, dubbed Discover, alongside a feature called Domains.

Centralized HubEffect

From the articleDiscover provides a centralized hub for users to browse and locate assets like tables, dashboards, notebooks, and AI agents.

Improved DiscoveryEffect

navigate by business areas, search certified assets, AI-driven recommendations

From the articleAI-driven recommendations, highlighting popular and certified content, further enhance asset discovery.

Reliable AI AgentsOutcome

improves data discovery and AI agent reliability for better outcomes

From the article 6 mentionsThis structure helps AI agents understand which assets are relevant and trustworthy within specific business areas, leading to more reliable outputs.

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.

StartupHub data

Companies working on this

Profiles of the companies named in this story, with founding year, headquarters, and a short description from our database.

Databricks

A unified data analytics and AI platform built on the lakehouse architecture.

Founded: 2013
Location: San Francisco, United States
Valuation: $190.0B

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

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.