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Enterprise Layer Intelligence
Categories/Data Platform & Integration/DataHub AI
DataHub AI

DataHub AI

Founded by John Joyce in 2020

Catalog data assets and track lineage across your organization

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use DataHub to organize, search, and manage metadata across your entire data infrastructure. It allows technical teams to catalog databases, track end-to-end data lineage, and inspect schema changes over time. You can monitor data freshness and quality metrics, set up governance policies, and identify data ownership. DataHub also delivers real-time context and metadata definitions directly to AI agents, automated pipelines, and internal analytical tools to ensure everyone works with verified, compliant information.

What DataHub AI does

Search data assets across cloud warehousesInspect pipeline dependencies and lineage graphsAssign ownership and tags to database schemasDefine and enforce data quality assertionsConnect AI agents to metadata via MCPAnalyze blast radius for table schema changesInteractive end-to-end data lineage trackingAutomated data discovery and unified search across tablesData freshness, volume, and schema validation checksDomain-based ownership assignment and taggingMCP-native integration to deliver context to AI agentsAutomated impact analysis before making pipeline changesSelf-serve data contract and governance policy management

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

AWSAWSGoogle CloudGoogle CloudSnowflakeSnowflakeDatabricksDatabricksClaudeClaudeCursorCursorLangChainLangChainSlackSlack

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DataHub, data catalog, metadata management, data lineage, data governance, data observability, data discovery, context management, MCP server, data quality, data mesh, data contracts