Alation Data Lineage vs Amazon DataZone
Alation Data Lineage
alation.comAmazon DataZone
aws.amazon.comSide by side
| Figure | Alation Data Lineage | Amazon DataZone |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Lineage Tools | 7.8 (#15) | 8.0 (#10) |
| Founded | 2012 | 2023 |
| Integrations | Alation says it offers more than 120 connectors, including connectors for databases and BI platforms, and supports custom connector development through its Open Connector Framework SDK. | Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift, and analytics integrations include Amazon Athena and Redshift Query Editor. |
| Purpose | Maps data flows, transformations, and dependencies so users can trace data from source to destination. | Amazon DataZone helps customers catalog, discover, share, and govern data across AWS, on-premises, and third-party sources. |
| Security | Alation says Cloud Service customer data is encrypted and not accessible to its site engineers. | DataZone encrypts data at rest by default with an AWS-owned KMS key and supports customer-managed KMS keys for catalog data. |
Plans
In their own words
Alation Data Lineage
Alation Data Lineage has no write-up on Specifiction yet; its figures are above.
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.