Aurelius Atlas vs OpenMetadata

Aurelius Atlas is an open-source data governance platform for business users who need to discover, understand, and manage information about organizational data. Its catalog describes data meaning, quality, location, lineage, and ownership. Lineage traces processing and use from data origins to consumers; quality insights and impact analysis help identify areas for improvement. Atlas models business concepts such as domains, entities, and attributes alongside technical assets such as systems, collections, datasets, and fields. Its documentation describes REST and lineage APIs for registering producers, consumers, and transformations, and federated identity through Keycloak, including Azure Active Directory integration. Organizations can host Atlas on cloud platforms or local servers. Docker Compose is provided for trying it and is not intended for production; on-premises Kubernetes is also described. A hosted SaaS option is maintained by the team and priced according to cloud resource usage and support level. The self-hosted plan is free, with optional consulting priced separately. Atlas is distributed under the Elastic License 2.0.

OpenMetadata is an open-source platform for cataloging and governing data, bringing technical context, business meaning and organizational memory into a knowledge graph. Its capabilities include discovery, data quality, observability, lineage, semantics and memory. The graph connects schemas, tables, columns, dashboards, pipelines, ML models, owners and classifications. Glossary terms, metric definitions and relationships using RDF, OWL, DCAT and Schema.org help represent shared business meaning. For AI workflows, OpenMetadata provides an MCP server, an AI SDK and a Context Center for articles, documents and memories. Its ingestion framework has connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake and Tableau. The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD. It can be deployed in an organization's own environment, explored in a live sandbox with demo data, or used through a free cloud service with the organization's data. The self-hosted plan is listed at free, with no usage limits stated. Security documentation describes stored-secret encryption, SSL/TLS connections and external secrets manager support.