Your Internal Data Marketplace for Trusted Data Products

DataMarket

DataMarket supports discovery and authorized consumption of governed data products, including natural language exploration. Confirm supported sources and consumption behavior for the implementation.

DataMarket data marketplace flow: sources to marketplace to consumers
The Data Products Difference

Compare the discovery and consumption workflow. DataMarket enables you to use it.

Move beyond passive data discovery to active data consumption with governed, self-service access to trusted data products.

Why Data Catalogs and BI Tools Are Not Enough

Traditional approaches leave gaps that DataMarket fills

✕Data scattered across platforms with low adoption
✕Business users unable to find or understand data
✕Over-dependence on IT teams for data access
✕No semantic context for AI applications
✕Unclear data ownership and accountability
✕Siloed BI reports without reusability
AI-Powered Data Catalog

Catalog that Builds Itself

Evaluate assisted cataloging alongside approved definitions, accountable owners, supported extraction, and review.

Verify source coverage

Automated Metadata Harvesting

Confirm supported metadata extraction, update frequency, and coverage for the configured sources.

Smart descriptions

AI-Powered Enrichment

Review AI-suggested descriptions and business context against approved meanings.

Reviewed classification

Intelligent Classification & Tagging

Evaluate suggested sensitivity, domain, and business classifications with accountable review.

Human-in-the-loop

Policy Recommendation with Approval Workflows

AI suggests governance policies based on data classification. Human reviewers approve before publishing-keeping you in control.

Visual ER diagrams

Automated Relationship Discovery

Validate captured relationships and known gaps with asset owners before relying on impact coverage.

Smart ownership

Stewardship & Ownership Assignment

Identify accountable owners and stewards, and confirm proposed assignments with the organization.

See Your Data Relationships at a Glance

This illustration shows relationship context. Review captured or suggested relationships, supported extraction, and known gaps before relying on impact coverage.

  • Auto-detect primary and foreign keys
  • Discover semantic relationships across domains
  • Interactive, zoomable ER diagrams
  • Export to documentation or design tools
DataMarket E-R DiagramAn entity-relationship diagram showing how Customers, Orders, and Products tables are related. Customers have a one-to-many relationship with Orders, and Orders have a many-to-one relationship with Products.1∞∞1CUSTOMERS🔑customer_idnameemailORDERS🔑order_id🔗customer_id🔗product_idPRODUCTS🔑product_idnameprice

Make your data easy to find, understand, and trust

Discover governed, business-ready data with clarity and confidence.

Data Flow Pipeline

Watch Your Data Transform

See how DataMarket takes raw data through a governed pipeline to deliver trusted, AI-ready data products

Ingest

• Connect & Collect

Connect to databases, lakes, documents, and BI tools

SQL/NoSQLS3/ADLSPDFsAPIs

Enrich

• Add Context

Apply business glossary, metrics, and semantic meaning

GlossaryMetricsLineageTags

Govern

• Control Access

Define policies, roles, and data contracts

RBACMaskingContractsAudit

Discover

• Find & Explore

Search, preview, and understand data products

NL SearchFiltersPreviewLineage

Consume

• Access & Use

Query, export, or integrate via APIs

SQLPythonREST APIExport
Deliver to Consumers
AI & ML
Analytics
Business
Build Data Products & Catalog

Discover governed data products with ownership and approved business context

Data Products Studio

Confirm supported data product formats, metadata extraction, and captured relationships for the implementation.

Semantic Layer & Business Context

Business glossary, definitions, metrics, relationships and domain models so users and AI understand the data.

Ontology Studio

Concept modeling, relationship mapping, taxonomies, and cross-domain linkages for AI reasoning and knowledge graphs.

Unified Structured + Unstructured Data

Confirm supported structured and unstructured sources, versions, and permission behavior.

Data Product Lifecycle

AI-powered automation with human oversight

HarvestAutomated Metadata
EnrichAI-Powered
ClassifySmart Tagging
RecommendPolicy Suggestions
ApproveHuman Review
PublishCatalog Ready
Auto-Generated ER DiagramsAI discovers relationships & visualizes data models
Access & Share Data

Discover, explore, and consume data products with self-service access

Search, Discovery & Exploration

Natural language search, faceted filters, sample previews, and popularity indicators to find the right data fast.

Query Federation & Virtualization

Verify federation, execution, data movement, and source impact for the supported operation and configuration.

AI-Assisted Access (Ask Albus)

Explore permitted data in natural language; verify interpretation, approved meaning, and the supported execution path.

Automated Relationship Discovery

Review captured or suggested relationships and known gaps before using them as impact evidence.

Access & Share Data

Search, DiscoveryQuery FederationAI-Assisted Access
Govern, Protect & Trust Data

Review governance and authorized consumption for your data products

Governance & Policy Management

Role-based access, dynamic masking, data contracts, approval workflows, and comprehensive audit trails.

Data Protection & Privacy

Confirm supported classification and protection controls for the intended data and permissions; no software result guarantees compliance.

Stewardship & Ownership

Assign accountable owners and stewards, and confirm proposed assignments with the organization.

Data Quality Integration

Verify supported quality context, its source, scope, currency, and handoff from DataTrust.

Govern, Protect & Trust Data

Governance &Data ProtectionStewardship &
DataMarket Architecture

From Raw Data to AI-Ready Products

A complete data products platform that transforms scattered datasets into governed, discoverable, and consumable assets

DatabasesSQL, NoSQL, Cloud
Data LakesS3, ADLS, GCS
DocumentsPDFs, Contracts
BI ReportsTableau, Power BI

Semantic Layer & Ontology

Business Context & Meaning

GlossaryMetricsRelationshipsTaxonomies

Data Products Studio

Create & Manage Data Products

StructuredUnstructuredBI AssetsAI-Ready

Discovery & Self-Service

Search, Explore & Request

NL SearchFaceted FiltersPreviewsLineage

Governance & Policies

Access Control & Compliance

RBACMaskingContractsAudit

Ask Albus (AI)

Natural Language Access

NL QueriesSQL GenPythonRAG
AI & ML Models
Analytics & BI
Business Users
Use Cases

Where DataMarket Excels

Enterprise data democratization
Automated metadata harvesting at scale
AI-powered data classification & tagging
Domain data products (Finance, Risk, Supply Chain)
Automated relationship discovery with ER diagrams
Policy recommendations with human approval workflows
AI and RAG enablement
Unstructured data governance

Evaluation criteria

Use one consumer question, approved definitions, known quality exceptions, and two roles with different permissions. Retain demonstrated results and unresolved implementation questions.

Ready to Build Your Data Marketplace?

See how DataMarket can transform your raw data into governed, AI-ready data products.

Request a DemoSee 3-min Tour

Frequently asked questions

DataMarket supports discovery and authorized consumption of governed data products, including natural language exploration. Confirm supported sources and consumption behavior for the implementation.

No. Access depends on the organization’s configured policies, approvals, and supported enforcement path. The discovery experience should explain the next permitted step.

Yes, when their permitted populations differ. Keep the approved meaning consistent and make the applied access scope understandable.