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Atlan Lakehouse vs Hugging Face Hub

Atlan Lakehouse

atlan.com

Hugging Face Hub

huggingface.co

Side by side

FigureAtlan LakehouseHugging Face Hub
Price from—$9/mo
Free plan—Yes
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hostedYes—
Plans published14
Spec score · Machine Learning Data Catalog Software7.5 (#4)8.0 (#2)
ComplianceAtlan's documentation lists SOC 2 Type II, HIPAA, ISO 27001, and GDPR among its certifications or compliance frameworks.Hugging Face states that the Hub is GDPR compliant and SOC 2 Type 2 certified.
IntegrationsAtlan lists native connectors for data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, including Snowflake, BigQuery, Tableau, dbt, and Airflow.The Hub supports integrations with open-source libraries, and Python or JavaScript clients can upload and download Hub files.
PurposeAtlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale.The Hub is a platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and apps.
SupportAtlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues.The Enterprise plan includes dedicated support.

Plans

Atlan Lakehouse

  • Atlan Context LakehousePriced on request

Atlan Lakehouse pricing →

Hugging Face Hub

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

Hugging Face Hub pricing →

In their own words

Atlan Lakehouse

Atlan Lakehouse is a knowledge architecture for storing, managing, and serving context to enterprise AI agents. Its design combines a knowledge graph, Iceberg-native file storage, vector-native search, and time travel. Context is exposed through MCP, A2A, SQL, and APIs. Atlan says its agents can use the Enterprise Data Graph to create asset descriptions, connect business terms, and surface business questions. Native connectors cover data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, with Snowflake, BigQuery, Tableau, dbt, and Airflow listed as examples. Connectors read metadata such as schemas, structures, lineage, ownership, and timestamps while source data remains in source systems. The App Framework lets developers, partners, and customers create custom connectors and apps with APIs, SDKs, CLI tools, and UI extension points. Atlan recommends single-tenant SaaS and lists AWS, Microsoft Azure, and Google Cloud Platform. A self-deployed runtime runs in the customer environment and requires additional enablement and licensing. Pricing is on request, and no free trial is offered.

Visit atlan.com

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