DataHub vs Amundsen

Side-by-side — pricing, strengths, tradeoffs, and fit.

DataHub

LinkedIn's metadata search & discovery tool for data infrastructure.

Amundsen

Open-source metadata-driven data discovery and catalog tool.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
◌ Declining·From N/A

Overview

One-liner

LinkedIn's metadata search & discovery tool for data infrastructure.

One-liner

Open-source metadata-driven data discovery and catalog tool.

Maturity

Established

Maturity

Declining

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Starts at

$0

Starts at

N/A

Model

Flat rate

Model

N/A

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Organizations needing comprehensive metadata management across multiple systems.
Teams looking for a unified view of their data assets to improve collaboration and governance.

✓ Best for

Organizations with diverse data sourcesAmundsen's integration capabilities allow for a unified metadata view.
Teams looking for an open-source solutionProvides flexibility and community support for customization.

Not ideal for

✕ Not for

Small teams or startups with limited data sources that do not require centralized metadata management.
Projects requiring real-time data processing where DataHub's self-hosted model may introduce latency.

✕ Not for

Small teams with limited technical expertiseThe setup and configuration can be complex and require technical skills.
Organizations needing advanced UI featuresThe tool focuses more on backend capabilities than on user interface.

Strengths

↑ Strengths

Centralized metadata management across multiple systems.
Search and discovery of data assets within an organization.
Integration with various data sources for comprehensive metadata collection.

↑ Strengths

Open-source and community-driven
Integration with multiple data sources
Active development and support

Weaknesses

↓ Weaknesses

Steep learning curve for non-Java developers
Limited documentation and community support
Complex setup and configuration process
Performance issues at scale

↓ Weaknesses

Complex setup and configuration
Limited user interface features
Scalability concerns for very large datasets
Full DataHub profile →Full Amundsen profile →