
DataHub Cloud
5.7#6 in machine learning data catalog softwareWebAPI
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| Fact | DataHub Cloud | Hugging Face Hub |
|---|---|---|
| Headquarters | Palo Alto, California | Paris, France |
| Integrations | The connector directory lists more than 150 data and AI integrations, including BigQuery, Databricks, dbt, Snowflake, Tableau, and Airflow. | The Hub supports integrations with open-source libraries, and Python or JavaScript clients can upload and download Hub files. |
| Purpose | DataHub Cloud automatically captures data lineage and shows downstream impact in real time. | The Hub is a platform for discovering, sharing, building, and collaborating on machine learning models, datasets, and apps. |
| Security | The security page says customer data is encrypted at rest and in transit, with AWS KMS used to manage encryption keys. | Hub security features include private repositories, access tokens, MFA, commit signatures, malware scanning, and resource groups. |
| Support | The Cloud vs. Core page says DataHub Cloud customers receive onboarding, multi-team training, adoption support, a dedicated customer success team, and a private Slack support channel. | The Enterprise plan includes dedicated support. |
DataHub Cloud is aimed at data analysts, data engineers, data scientists, and data governance teams that need to trace lineage and assess downstream effects of changes.
The Hub suits individuals and organizations working with machine learning models, datasets, and apps. Its organization roles, SSO options, and enterprise support may suit teams with access-management needs.