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Hugging Face Hub vs OpenMetadata

Hugging Face Hub

huggingface.co

OpenMetadata

open-metadata.org

Side by side

FigureHugging Face HubOpenMetadata
Price from$9/moFree
Free planYesYes
Free trial——
Open source——
WebYesYes
LinuxYes—
APIYesYes
Self-hosted—Yes
Plans published41
Spec score · Machine Learning Data Catalog Software8.0 (#2)7.3 (#7)
IntegrationsThe Hub supports integrations with open-source libraries, and Python or JavaScript clients can upload and download Hub files.Its ingestion framework supports connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake, and Tableau.
PurposeThe Hub is a platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and apps.OpenMetadata unifies technical context, business semantics, and organizational memory in a knowledge graph for people and AI agents.
SecurityHub security features include private repositories, access tokens, MFA, commit signatures, malware scanning, and resource groups.The documentation describes Fernet encryption for stored passwords and connection secrets, SSL/TLS connections, and external secrets manager support.

Plans

Hugging Face Hub

  • Free user or orgFree
  • PRO Account$9 a month
  • Team$20 a month
  • Enterprise$50 a month

Hugging Face Hub pricing →

OpenMetadata

  • OpenMetadata (self-hosted)Free

OpenMetadata pricing →

In their own words

Hugging Face Hub

Hugging Face Hub is a cloud platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and applications. Its Git-based repositories provide branches, commit history, diffs, versioning, and point-in-time file rollback. Storage Buckets hold mutable files that do not need Git versioning, while Spaces host interactive apps and demos built with Gradio or Docker. Open-source library integrations and Python or JavaScript clients support file uploads and downloads. Inference Providers expose models through a programmatic API, and Inference Endpoints offer dedicated autoscaling deployments. Organizations group accounts and repositories with role-based access controls. Security options include private repositories, access tokens, MFA, commit signatures, malware scanning, and resource groups. Team and Enterprise plans support OIDC- or SAML-based SSO. Hugging Face states GDPR compliance and SOC 2 Type 2 certification. The service runs on Linux and the web, with an API, and is headquartered in Paris, France.

Visit huggingface.co

OpenMetadata

OpenMetadata is an open-source platform for cataloging and governing data, bringing technical context, business meaning and organizational memory into a knowledge graph. Its capabilities include discovery, data quality, observability, lineage, semantics and memory. The graph connects schemas, tables, columns, dashboards, pipelines, ML models, owners and classifications. Glossary terms, metric definitions and relationships using RDF, OWL, DCAT and Schema.org help represent shared business meaning. For AI workflows, OpenMetadata provides an MCP server, an AI SDK and a Context Center for articles, documents and memories. Its ingestion framework has connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake and Tableau. The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD. It can be deployed in an organization's own environment, explored in a live sandbox with demo data, or used through a free cloud service with the organization's data. The self-hosted plan is listed at free, with no usage limits stated. Security documentation describes stored-secret encryption, SSL/TLS connections and external secrets manager support.

Visit open-metadata.org