Amazon DataZone vs DataGalaxy Data Product Marketplace
Amazon DataZone
aws.amazon.comDataGalaxy Data Product Marketplace
datagalaxy.comSide by side
| Figure | Amazon DataZone | DataGalaxy Data Product Marketplace |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Data Lineage Tools | 8.0 (#10) | 7.2 (#24) |
| Founded | 2023 | 2015 |
| Integrations | Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift, and analytics integrations include Amazon Athena and Redshift Query Editor. | 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. |
| Purpose | Amazon DataZone helps customers catalog, discover, share, and govern data across AWS, on-premises, and third-party sources. | The Marketplace gives business teams a place to explore, understand and request trusted data and AI products without relying on support tickets. |
Plans
DataGalaxy Data Product Marketplace
- EnterprisePriced on request
- Marketplace & Product LifecyclePriced on request
- ProfessionalPriced on request
- StarterPriced on request
In their own words
Amazon DataZone
Amazon DataZone is a cloud service for cataloging, discovering, sharing, and governing data across AWS, on-premises, and third-party sources. Its business data catalog lets users search published data and request access. Projects give teams a way to collaborate around data assets and manage and monitor them, while governed workflows align access with users and purposes. Large language models can generate business names for structured data, including columns, to support discovery. Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift; analytics integrations include Amazon Athena and Redshift Query Editor. DataZone can fulfill and manage permissions automatically for AWS Lake Formation-managed Glue tables and Redshift tables and views. Amazon SageMaker integration supports access to data and ML assets and publishing new assets to the catalog. It supports automated discovery, column-level lineage, impact analysis, and pipeline lineage. Data is encrypted at rest by default with an AWS-owned KMS key, with customer-managed keys supported for catalog data. Traffic uses TLS and client-side encryption, and service communication is over HTTPS. CloudTrail records actions. Associated AWS Glue, KMS, Athena, Redshift, and S3 usage may also incur charges.
DataGalaxy Data Product Marketplace
DataGalaxy Data Product Marketplace has no write-up on Specifiction yet; its figures are above.