DataHub

Name: DataHub
Brand: DataHub
Rating: 4.4 (8 reviews)

Unclaimed

Modern data catalog and metadata platform for AI and data context management.

Data & Databases Analytics Developer Tools

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4.4(8 across the web)

FreemiumVisit Website

Reviews onG2

8 reviews tracked·4 press mentions

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Open-source core with a strong community

Biggest con

No specific cons mentioned in the provided text.

TL;DR - DataHub

Open-source metadata platform for AI and data context management.
Enables data discovery, lineage, and governance across diverse data assets.
Offers both a free open-source core and a managed enterprise cloud solution.

Pricing: Free plan available

Best for: Growing teams

4.4/5 across review platforms

What is DataHub?

Editorial review

DataHub is an open-source metadata platform designed to bring order to data chaos by providing comprehensive context for AI and data assets. It helps organizations manage, govern, and scale diverse AI and data assets by enabling self-serve metadata workflows, improving data discovery, lineage, and governance. The platform is built to support modern data ecosystems, allowing analysts, engineers, and AI models to safely use and manage data. DataHub is suitable for enterprises and data teams looking to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance. It offers both an open-source core and an enterprise-ready SaaS offering, DataHub Cloud, which provides a fully-managed solution with AI-powered discovery, observability, and governance capabilities. The platform aims to transform data management productivity, accelerate in-production AI, and implement concurrent AI and data governance.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcedatahubproject.io ↗

Pros & Cons

Pros

Open-source core with a strong community
Scalable and extensible metadata graph
Supports AI workflows and governance
Offers a fully-managed SaaS option (DataHub Cloud)
Proven by large enterprises like Netflix, Visa, and Slack

Cons

No specific cons mentioned in the provided text.

Ratings Across the Web

4.4(8 reviews)

G28 reviews

4.4/5

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

AI & Data Context ManagementSelf-serve metadata workflowsExtensible discoveryData lineage visibilityData governance at scaleAPI-powered metadataProactive data quality monitoringImpact analysis

Pricing Plans

DataHub Core

Free

Open Source Metadata Platform

DataHub Cloud

Enterprise-ready SaaS built on DataHub Core
Enables AI to work with data
Transforms data management productivity
Accelerates in-production AI
Implements concurrent AI & data governance

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Reviews

4.4/5

Across 8 verified user reviews on G2

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DataHub FAQ

How does DataHub's AI chat agent, Ask DataHub, function within existing communication tools?

Ask DataHub provides immediate answers to natural language questions about data directly within DataHub, Slack, or Teams. This allows business users to self-serve insights without needing to involve engineers for manual problem tracing.

What specific capabilities does the DataHub MCP Server offer for integrating with AI tools?

The DataHub MCP Server enables AI tools such as Claude, Cursor, and Windsurf to programmatically search the data ecosystem. These AI agents can query metadata, traverse lineage, and assess data quality through the server.

How does DataHub assist in automating data documentation?

DataHub's AI examines schema, relationships, and usage patterns to automatically generate detailed documentation. It formats this information to match custom standards and allows users to upload attachments for comprehensive context.

What role did Shirshanka Das and Swaroop Jagadish play in the initial development of metadata platforms before DataHub?

Shirshanka Das led the creation of DataHub at LinkedIn, a high-performance metadata platform designed to address GDPR compliance issues. Swaroop Jagadish helped build Airbnb’s DataPortal, which used metadata to standardize business metrics crucial for the company's IPO success.

Beyond discovery, how does DataHub help reduce data infrastructure costs?

DataHub helps identify unused pipelines and redundant data, allowing organizations to understand the impact of changes. This capability helps eliminate waste and prevent expensive mistakes, thereby reducing overall data infrastructure costs.

Source: datahubproject.io

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