Aurelius Atlas vs DataHub
Aurelius Atlas
aureliusatlas.orgDataHub
datahub.comSide by side
| Figure | Aurelius Atlas | DataHub |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Metadata Management Software | 7.9 (#6) | 8.6 (#5) |
| Founded | 2017 | LinkedIn and Gartner list DataHub's founding year as 2021. |
| Integrations | The documentation describes an Apache Atlas REST API and a Lineage API for registering producers, consumers, and transformations. | The project advertises more than 150 integrations, including Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Power BI, Airflow, Kafka, S3 and Iceberg. |
| Purpose | Aurelius Atlas is an open-source data governance platform that helps business users discover, understand, and manage governance information. | DataHub describes its platform as a context platform that unifies technical metadata, business knowledge, and documentation for enterprise data and AI agents. |
| Support | The support documentation says the team monitors its support email and aims to respond within 24–48 hours. | Open-source users receive community Slack and self-service documentation, while Cloud customers receive dedicated customer success and private support channels. |
Plans
In their own words
Aurelius Atlas
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.
DataHub
DataHub brings technical metadata, business knowledge, and documentation together for enterprise data and AI agents. It is available as self-hosted Core or as managed DataHub Cloud. Cloud provides natural-language search, an Ask DataHub chat agent, smart ranking, and a hosted MCP server that connects AI tools to its catalog. Its observability tools run automated schema, freshness, volume, and custom quality checks, with AI anomaly detection and incident workflows. Cross-platform, column-level lineage traces data from sources through transformations and AI models to downstream assets. DataHub Cloud has more than 100 pre-built connectors and names Slack, Microsoft Teams, Chrome, and BI tools among its native integrations. Cloud is described as SOC 2 compliant, with role- and attribute-based access controls and an in-VPC execution option for sensitive sources. Cloud availability is described as SLA-backed at 99.5%. DataHub Core is free to deploy, but requires users to handle installation, configuration, upgrades, uptime, and troubleshooting. Cloud pricing depends on data volume, users, and selected capabilities. A Google Cloud offer advertises a 21-day Cloud trial with a dedicated instance and full platform access.