DataGalaxy Data Product Marketplace
5.6#15 in active metadata management softwareWebAPI
VisitDataGalaxy Data Product Marketplace vs DataHub
What both publish
| Fact | DataGalaxy Data Product Marketplace | DataHub |
|---|---|---|
| Founded | 2015 | LinkedIn and Gartner list DataHub's founding year as 2021. |
| Governance | Published assets are governed through policies, ownership and access workflows, and users can request access with approvals and tracking handled in the platform. | DataHub includes a versioned business glossary, ownership and stewardship tools, access policies and compliance controls. |
| Integrations | The integrations page lists connectors including Snowflake, BigQuery, Tableau, Power BI, dbt, Talend and Collibra, and offers an open API or file-based import and export for systems without a listed connector. | The project advertises more than 150 integrations, including Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Power BI, Airflow, Kafka, S3 and Iceberg. |
| Purpose | The Marketplace gives business teams a place to explore, understand and request trusted data and AI products without relying on support tickets. | DataHub describes its platform as a context platform that unifies technical metadata, business knowledge, and documentation for enterprise data and AI agents. |
DataGalaxy Data Product Marketplace plans
- EnterprisePriced on request
- Marketplace & Product LifecyclePriced on request
- ProfessionalPriced on request
- StarterPriced on request
DataHub plans
- DataHub CoreFree
- DataHub CloudPriced on request
Pick DataGalaxy Data Product Marketplace if…
You want what its maker publishes above — check its page for the details.
Pick DataHub if…
DataHub suits enterprise data teams seeking a catalog that connects metadata, documentation, lineage, and AI tools. Core may suit teams willing to operate a self-hosted platform, while Cloud provides managed service and support.