Amazon DataZone vs DataFitch
Amazon DataZone
aws.amazon.com
DataFitch
datafitch.ioSide by side
| Figure | Amazon DataZone | DataFitch |
|---|---|---|
| Price from | Free | $699/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Lineage Tools | 8.0 (#10) | 8.0 (#12) |
| Integrations | Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift, and analytics integrations include Amazon Athena and Redshift Query Editor. | The connector library lists 150+ sources across databases, cloud platforms, CRM and sales, marketing, analytics, file storage, business apps, e-commerce, customer support, event streaming, BI tools, and advertising. |
| Security | DataZone encrypts data at rest by default with an AWS-owned KMS key and supports customer-managed KMS keys for catalog data. | The features page describes a SOC 2 compliant architecture, AES-256 encryption for credentials at rest and in transit, role-based access controls, SSO/SAML integration, and audit logging. |
Plans
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.