Amazon DataZone vs Apache Atlas

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.

Apache Atlas is open-source software for managing metadata and governance around data assets. It supports cataloging, classification, governance, and collaboration, with predefined metadata types and tools for defining custom types, entities, and relationships. Teams can create classifications, associate them with multiple entities, and propagate them through data lineage. The interface displays lineage, and REST APIs can access and update it. Metadata search works by type, classification, attribute value, or free text, including through a SQL-like language. Fine-grained access controls apply to metadata entities and classification operations. Integration with Apache Ranger can use classifications for authorization and data masking. Atlas exposes REST endpoints for metadata types, entities, lineage, and discovery; documented integrations include Hive, HBase, Sqoop, Storm, and Kafka. Atlas is server software for self-hosted deployment, built and packaged for an environment with HBase and Solr. It is listed for Linux, web, API, and self-hosted use, at free.