Apache Atlas vs Egeria

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.

Egeria is an open-source project for enabling metadata and context interoperability across people, tools and platforms used in AI and data science. Its open metadata schema contains more than 600 types for describing an enterprise’s digital business. Specialist servers capture, analyze, search and manage metadata, and can extract, store and synchronize information across technologies. Egeria supports metadata exchange, linking and federation across different repositories, with frameworks intended to accommodate custom types, variations and systems. Its feature catalog includes cataloguing, lineage management, discovery, metadata security and synchronized access control. Discovery functions include schema extraction, resource profiling, and data class, grain, semantic and classification discovery. Connectors cover integration, repositories, runtime, security and REST client access. Documented content packs include PostgreSQL, Microsoft SQL Server, Oracle Database, Db2 for LUW, DuckDB, Unity Catalog, Apache Atlas and Apache Kafka. Interfaces include Egeria Explorer, Lineage Explorer, Data Mesh, The Catalog, Egeria Operations and Egeria Audit. It can run in a Docker container, standalone or as part of Kubernetes deployments. The community edition is free to use.