Metaphor vs DataHub

Metaphor, the brainchild of DataHub's original creators, marks a major advancement in data governance. Developed with the insights gained from LinkedIn, our founders embarked on "The Grand Rewrite of DataHub," bringing forth a platform that excels in user-friendliness, scalability, and reliability. Designed to address the intricate needs of today's data professionals, Metaphor was thoughtfully engineered to meet the sophisticated needs of modern data professionals, from data producers to end-users.

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Feature Comparison

Explore the key feature differences that set Metaphor apart.
Metaphor
DataHub
Keyword & Faceted Search
Natural Language Search
(incl. external Wikis & docs)
Search in Slack/Teams
Capture documentation from Slack/Team
Query Log & Top Queries
End-to-end column-level lineage
AI Features
(Auto-doc/description, Query explainer, auto Teams thread summary, etc)
Browser extension showing trust signals in dashboards
Social features
(profiles, activity feed, notifications, conversations, hash tags)

Support & Roadmap

Metaphor's dedicated support team and transparent product roadmap offer superior long-term value and adaptability compared to the competition.
Metaphor
DataHub
Feature Request Portal & Product Roadmap
Customer Success & Enablement
Product Advisory Council
Support SLAs
Slack/Teams Support Channel
Community Support
External Security Audits (SOC-2)
Fully Managed SaaS