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Core vs Cloud: Comparison Guide

This guide compares DataHub Core (OSS) and DataHub Cloud features and platform differences. DataHub Cloud builds on the DataHub Core foundation with enterprise-grade capabilities including AI automation, advanced governance, operational reliability, and production support for mid-to-large organizations. Cloud also offers a fully managed service with 99.5%+ SLA-backed availability, dedicated support, enhanced security, training services, and flexible deployment options.

Context Platform​

How context gets into DataHub, enriched, curated, and served to agents.

Context Ingestion​

Connect sources and pull technical, business, and unstructured context into DataHub.

Feature NameCoreCloudBusiness ValueLink
140+ Source Connectors with Unified Search✔✔Connect entire data ecosystemDocs
dbt Metrics & Semantic Model Ingestion✔✔Bring in metric definitions and semantic models from dbtDocs
BI Tool Glossary & Definitions Ingestion✔✔Ingest business glossaries and definitions from Power BI, Tableau, Looker
Unstructured Document Ingestion (Notion, Confluence, etc)✔✔Pull institutional knowledge from wikis, docs, and collaboration toolsDocs
Chunking & Semantic Embedding✔✔Auto-chunk and embed all context for real-time semantic retrieval
Continuous Technical Metadata Sync✔✔Keep the context graph current as data and definitions evolve
GraphQL & MCP Retrieval✔✔Serve context to any agent or tool via GraphQL, MCP, or APIGraphQL · MCP

Context Intelligence​

Mine and generate context automatically instead of authoring it by hand.

Feature NameCoreCloudBusiness ValueLink
Cross-Platform Query History Mining❌✔Turn years of warehouse query history into a structured semantic index
Metrics & Semantic Models✔✔Search and browse business metrics alongside datasets, pipelines, and lineageDocs
Context Documents Generation❌✔Auto-generate context documents capturing proven joins, filters, metric definitionsDocs
AI Documentation Generation❌✔Auto-document tables and columns at scale without manual authoringDocs
Automated Context Updates❌✔Continuously refresh context as schemas, queries, and business definitions change
Automated Eval Execution (Benchmark Q&A & Regression Testing)❌✔Run benchmark Q&A and regression tests to catch accuracy drift before it reaches agentsDocs

Context Hub​

Review, disambiguate, and approve context before agents rely on it.

Feature NameCoreCloudBusiness ValueLink
Collaborative Workflow for Reviewing and Editing Context❌✔Give domain experts a structured inbox to approve, reject, or refine AI-proposed context
Business Context Disambiguation & Domain-Specific Resolution❌✔Resolve conflicting definitions at the domain level before they reach agents
Simulation & Validation Before Context Publishing❌✔Preview how context changes affect text-to-SQL results before going live
Change Proposals: Documentation, Glossary, Tags & Ownership❌✔Controlled vocabulary and documentation changes with audit trailDocs

Context Activation​

Serve verified context to agents, tools, and custom workflows.

Feature NameCoreCloudBusiness ValueLink
DataHub Hosted MCP Server❌✔Connect AI tools directly to your data catalogDocs
Scoped MCP Servers❌✔Create purpose-built MCP servers with curated tools and scoped access to specific data assets and context documentsDocs
Skills Library (Ask DataHub, SQL grounding, lineage lookup)✔✔Pre-built skills for accurate SQL generation and data discoveryDocs
Full API & SDK✔✔Integrate DataHub context into any custom agent or workflowDocs
Native Agent Surfaces (Claude, Snowflake, Databricks, etc.)✔✔Surface verified context inside the tools your team already usesDocs
Ask DataHub AI Agent + Plugins❌✔Find trustworthy metrics, generate accurate SQL, debug data quality issues, understand data impactDocs

How people and agents find, understand, and navigate assets across the estate.

Feature NameCoreCloudBusiness ValueLink
140+ Source Connectors with Unified Search✔✔Connect entire data ecosystemDocs
Ask DataHub AI Agent + Plugins❌✔
  • Find trustworthy data metrics
  • Generate Accurate SQL
  • Debug data quality issues
  • Understand impact of data changes
  • Human-in-the-loop approval for metadata edits
Docs
Agent Registry❌✔Catalog AI agents, skills, tools, and MCP servers with lineage to the data they consumeDocs
Service Catalog❌✔Catalog repositories, services, and APIs as governed entities connected to your data lineage graphDocs
DataHub Hosted MCP Server❌✔Connect AI tools directly to your data catalogDocs
Enhanced Usage-Aware Search Ranking❌✔Surface most relevant data firstDocs
Column-Level Lineage & Impact Analysis✔✔Understand data dependenciesDocs
Lineage-Based Propagation❌✔Auto-enrich downstream datasetsDocs
Context Documents✔✔Create & semantically search across unstructured docsDocs
Import Context Documents from GitHub✔✔Import GitHub repositories as semantically-searchable context documents, editable in DataHub; DataHub Cloud syncs edits back via PRsDocs
AI Documentation Generation❌✔Auto-document tables & columnsDocs
Logical Models UI✔✔Create and manage logical models from the UI without API or SDK accessDocs
Logical Model Propagation❌✔Propagate tags, terms, documentation & ownership from logical models to their physical assetsDocs
Personalized Home and Asset Views❌✔Customize home page and asset summaries for a personalized data experienceDocs
Multi-Channel Notifications❌✔Stay informed where you work (Email, Slack, & Teams)Docs

Data Observability​

How data health is monitored, alerted on, and resolved when something breaks.

Feature NameCoreCloudBusiness ValueLink
Quality & Health Status on Asset Profiles✔✔See quality at a glanceDocs
AI Anomaly Detection❌✔Catch issues automaticallyDocs
Freshness, Volume, Schema & Column Monitoring, Custom SQL Checks❌✔Ensure timely and correct dataDocs
Data Contracts✔✔Define quality expectationsDocs
Data Health Dashboard❌✔Quality overview at scaleDocs
Notifications for Data Assertions❌✔Real-time quality alertsDocs
Secure In-VPC Quality Validation❌✔Your data never leaves your networkDocs
Pipeline Circuit Breakers (API)❌✔Validate data quality programmatically before reads or writesDocs
Data Observability Agent❌✔Identify and resolve monitoring gaps on critical datasetsDocs
Monitoring Rules❌✔Automatically apply monitoring to datasets matching your custom criteriaDocs
Incident Management✔✔Create and track data incidentsDocs

Data Governance​

How ownership, vocabulary, compliance, and access are defined and enforced.

Feature NameCoreCloudBusiness ValueLink
Data Ownership Management✔✔Clear accountabilityDocs
Business Glossary✔✔Common data languageDocs
Bi-Directional Metadata Sync❌✔Keep metadata currentDocs
Compliance Forms and Workflow Engine❌✔Track regulatory complianceDocs
Metadata Tests❌✔Validate governance rulesDocs
Change Proposals: Documentation, Glossary, Tags, Terms, and Data Ownership❌✔Controlled vocabulary changesDocs
Access Request Workflows❌✔Self-service data accessDocs
Action Workflows❌✔Approval flows beyond access requests (certification, governance, proposals)Docs

Enterprise & Security​

Availability guarantees, network isolation, and access controls for production use.

Feature NameCore AvailableCloud AvailableBusiness Value
99.5% Uptime SLA❌✔Guaranteed availability
Fine-grained Access Control❌✔Secure by default
AWS PrivateLink Support❌✔Network isolation
IP Address Restrictions❌✔Access control
In-VPC Remote Ingestion Agent❌✔Data security control

Implementation & Support​

How teams get deployed, onboarded, and supported day to day.

Feature NameCore AvailableCloud AvailableBusiness Value
Fully Managed Cloud Deployment❌✔Zero maintenance cloud-hosted instance
Dedicated Customer Success❌✔Expert guidance
Guided Implementation & Onboarding❌✔Smooth rollout
Multi-language Support✔✔Use DataHub in your browser's language:
GA: German
Beta: Spanish, Brazilian Portuguese, French, Italian, Norwegian, Swedish, Hungarian
Private Slack Support Channel❌✔Direct access to experts
Community Support✔✔Peer assistance
OSS Contribution Fast-Track❌✔Community Contribution Support to DataHub Apache 2.0 Project
See DataHub Cloud In Action