DataHub vs Marquez
No leader: the top candidate DataHub has only 0.25 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data catalog. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
DataHub
DataHub is an open-source metadata management system that centralizes data discovery and governance across multiple tools and platforms. It supports real-time streaming and batch metadata ingestion through 80+ connectors, provides GraphQL and REST APIs, and integrates with AI development tools like Cursor and Claude Desktop via MCP protocol.
Marquez
A platform for collecting and managing metadata about datasets and their relationships within a data ecosystem. It provides visibility into data lineage, job execution, dataset access patterns, and centralizes dataset lifecycle management.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
DataHub
- Cursor
- Claude Desktop
- Cline
- Slack
- GraphQL
- REST API
- Python SDK
- Java SDK
Marquez
Not documented yet.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.