Supporting AI in Production at Scale with Trusted Data

DataHub Cloud is the leading AI Data catalog that unifies AI-powered discovery, governance, and observability, helping enterprises scale data operations efficiently while ensuring data quality, compliance, and AI-readiness across their entire data estate.

Discovery

  • Ask DataHub – AI Assistant: A natural language AI assistant that lets users instantly find, understand, and act on data assets.
  • X-Platform Column-Level Lineage: Trace data from source to consumption at the column level across every platform, tool, and transformation in your stack.
  • Auto-Documentation: Automatically generate rich, contextual documentation for data assets using AI.
  • MCP Server for AI Agents: Give AI agents real-time, structured access to your enterprise data context.

Observability

  • Real-Time Data Quality Monitoring: Catch quality issues the moment they emerge by continuously monitoring data assets for freshness, volume, schema changes, and more.
  • AI-Powered Anomaly Detection: Automatically surface unusual patterns, unexpected shifts, and silent data failures using AI.
  • Automated Impact Analysis: Instantly understand the blast radius of any schema changes by tracing column-level lineage to downstream assets, reports, and AI models.
  • Incident Management Workflow: Streamline the response to data incidents with structured workflows.
  • Usage Analytics & Cost Optimization: Uncover which assets are actually being used, by whom, and how often.

Governance

  • Business Glossary: Ensure every team speaks the same language by defining a shared vocabulary of business terms.
  • Dynamic Compliance Workflows: Automate governance processes that adapt in real time to regulatory requirements, data changes, and organizational policies.
  • Enterprise RBAC & Automation: Enforce fine-grained, role-based access controls at scale with automated policy execution.
  • Labeled PII & Sensitive Data: Automatically classify and tag personally identifiable and sensitive data across your entire estate.
  • Codified Policies as Data Contracts: Translate governance rules and SLAs into enforceable, machine-readable data contracts.

Context for AI Agents

  • Enable AI Agents to Autonomously Work with Enterprise Data: Give AI agents the trusted and real-time context they need to independently discover, reason over, and act on enterprise data.
  • Curate Context Across Structured and Unstructured Sources: Automatically harvest and harmonize context from databases, data warehouses, notion pages, documentation, and beyond.
  • Create Unified Context Graph: Connect every data asset, business term, owner, policy, and lineage relationship into a single, navigable graph.
  • Enable Agents with Relevant, Governed, and Reliable Context: Ensure AI agents only operate on context that is accurate, access-controlled, and compliant.