NEW CONTEXT MANAGEMENT PLATFORM

The Context Platform for AI Agents

Your context graph — unified with lineage, quality, and real-time context for every agent to rely on. Trusted by an open source community of 3,000+ organizations and 15,000+ members.

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Claude Cursor Cortext Genie CrewAI Langchain Agent Development Kit
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CONTEXT
ACTIVATION
MCP
Context Kit
APIs / SDKs
Skills
User Experience
CONTEXT
LAYER
Context Intelligence
Context Hub
Metrics
Lineage
Impact Analysis
Data Contracts
Data Quality
Access & Policy
CONTEXT
STORE
Metadata
Knowledge
Embeddings
Memory
Context Management Platform
INGEST REAL-TIME CONTEXT EVENTS
Microsoft Fabric Databricks Snowflake Dataplex
STRUCTURED DATA
usage schemas freshness
Slack Google Drive Notion Confluence
UNSTRUCTURED DATA
SOPs runbooks code
Salesforce Workday HubSpot
BUSINESS APPS
state changes entity definitions metric definitions
Power BI Model Context Protocol PDF
SEMANTIC KNOWLEDGE
semantic models ontologies

TRUSTED BY TEAMS AT

AppleBlockChimeEtsyFoursquareFISNetflixNotionOptumT. Rowe Price

Built for agents. Trusted by experts.

Six capabilities that make DataHub the context platform your AI stack is missing — and
the foundation your data team already knows how to run.

01

Your context graph, unified

Metric definitions, data products, domain ownership, runbooks, and SOPs — curated once, served to every agent, human, and dashboard that needs them.

02

Trusted lineage, from pipeline to prompt

See where data comes from, how it's used, and how a change cascades — for humans debugging and agents answering.

03

Data quality agents can act on

Freshness, volume, and column checks delivered to the agent at query time, not after the fact.

04

Always current governance

Agents propose new metric definitions and business context — your experts review, approve, and refine, with every decision feeding back to sharpen the system. See the blast radius of how sensitive data flows across your estate before decisions are made.

05

Context that writes itself

DataHub continuously derives intent, joins, and definitions from query logs, lineage, and usage — no documentation project required.

06

Every agent, one source of truth

MCP-native integration with Cortex, Genie, Cursor, Claude, LangChain, ADK, Crew AI, and your own agent.

Choose from Open Source or Fully Managed

3,000+

ORGANIZATIONS

15,000+

MEMBERS

3M+

DOWNLOADS / MONTH

Enterprise-ready AI Data Catalog
built on DataHub Core

Unified discovery, governance, and observability, ensuring AI-readiness while scaling data operations.

DISCOVER OBSERVE GOVERN

Customer Stories

  • With DataHub, Netflix empowers teams to define and manage metadata through self-serve workflows, improving flexibility and governance.

  • Visa replaced its custom catalog with DataHub, using API-powered metadata to scale governance, improve quality, and support AI workflows across global teams.

  • Slack collapsed 6 years of metadata complexity into 3 days of progress with DataHub—unlocking extensible discovery, lineage, and governance across teams.

  • Deutsche Telekom deployed DataHub to simplify discovery, resolve pipeline issues faster, and power AI platforms with metadata context.

  • Chime uses DataHub Cloud to unify producers and consumers, enabling shared ownership, lineage visibility, and proactive data quality monitoring.

  • Pinterest replaced rigid workflows with DataHub’s flexible metadata platform—powering custom integrations, intuitive discovery, and better governance at scale.

  • Foursquare replaced fragmented systems with a flexible metadata platform using DataHub, boosting developer efficiency and governance.

  • Learn how Airtel scaled data governance and discovery across 30+ PB and 10K+ jobs with DataHub as its metadata management backbone.

  • Notion scales metadata management with DataHub Cloud, improving impact analysis, self-serve discovery, and GDPR compliance.

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