DataGalaxy Data Product Marketplace vs OpenDataDiscovery Platform
DataGalaxy Data Product Marketplace
datagalaxy.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | DataGalaxy Data Product Marketplace | OpenDataDiscovery Platform |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Data Lineage Tools | 7.2 (#24) | 8.1 (#9) |
| Spec score · Active Metadata Management Software | 7.2 (#14) | 8.1 (#7) |
| 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 product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Purpose | The Marketplace gives business teams a place to explore, understand and request trusted data and AI products without relying on support tickets. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Support | The pricing page lists customer support from 9h to 19h CET, Monday through Friday, for the Start plan. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
DataGalaxy Data Product Marketplace
- EnterprisePriced on request
- Marketplace & Product LifecyclePriced on request
- ProfessionalPriced on request
- StarterPriced on request
In their own words
DataGalaxy Data Product Marketplace
DataGalaxy Data Product Marketplace has no write-up on Specifiction yet; its figures are above.
OpenDataDiscovery Platform
OpenDataDiscovery Platform is an open-source catalog for finding and governing data products across data teams. Search and facet filters help users locate metadata by source, owner, or tag, then explore ownership and related links. The platform traces data objects and microservices end to end, imports data quality test results, and shows dataset quality status. It also catalogs machine-learning experiment metadata and lineage and supports experiment logging, connecting data science and data engineering work. Teams can access collected metadata through a web interface or REST API, and deploy with Docker Compose, Kubernetes and Helm charts, or AWS Marketplace QuickLaunch. The catalog uses an open metadata collection standard to connect catalogs, tools, and feature stores; Lookup Tables support reference data governance. ODD supports LDAP authentication and USER and ADMIN roles. Its documentation cautions against simple login-form authentication in production. Metadata attachments are limited to 20 MB, while links can point to larger or remotely stored files. The platform is free and open source, with public development.