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 Cortex 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 enterprise data teams around the world

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.

The numbers are in. DataHub Delivers

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The #1 open source
metadata platform.

15,000+
MEMBERS
3,000+
COMPANIES
3M+
DOWNLOADS/MONTH
10,000+
GITHUB USERS
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The enterprise context platform
built on DataHub Core.

Keeps context relevant, reliable, and refreshed across your entire data estate.

119%
more AI/ML models successfully reaching production
91%
Faster data searches (50 min → 5 min)
48%
fewer data-related outages
24%
lower AI/ML project failure rate

Pinterest Powers its #1 AI Agent with DataHub Context

Learn how Pinterest solved the context problem behind text-to-SQL and shipped an AI analytics agent with 10x the usage of any other internal tool.

Read Customer Story

Challenge

With 400,000 ungoverned tables and institutional knowledge siloed, Pinterest’s analysts could not trust their data context, making accurate, consistent AI-powered analytics impossible.

Solution

Pinterest deployed DataHub as a centralized context platform, combining enforced data governance, AI-generated documentation, and intent-indexed query history into a single context layer that powers its Analytics Agent.

Impact

The Analytics Agent became Pinterest’s most-used internal agent: questions that once required hours of exploration now return trusted answers in minutes, with every analyst’s institutional knowledge made accessible to everyone.

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See how DataHub Cloud transforms enterprise data management with AI-powered discovery, intelligent observability, and automated governance for the AI era.