Atlan Lakehouse vs Aurelius Atlas
Atlan Lakehouse
atlan.comAurelius Atlas
aureliusatlas.orgSide by side
| Figure | Atlan Lakehouse | Aurelius Atlas |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Metadata Management Software | 7.3 (#10) | 7.9 (#6) |
| Deployment | Atlan describes itself as cloud-first, recommends single-tenant SaaS, and lists AWS, Microsoft Azure, and Google Cloud Platform as hosting options. | Atlas can be self-hosted on cloud platforms or local servers, with Docker Compose and on-premises Kubernetes support described on the deployment page. |
| Founded | 2020 | 2017 |
| Integrations | Atlan lists native connectors for data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, including Snowflake, BigQuery, Tableau, dbt, and Airflow. | The documentation describes an Apache Atlas REST API and a Lineage API for registering producers, consumers, and transformations. |
| Purpose | Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale. | Aurelius Atlas is an open-source data governance platform that helps business users discover, understand, and manage governance information. |
| Support | Atlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues. | The support documentation says the team monitors its support email and aims to respond within 24–48 hours. |
Plans
In their own words
Atlan Lakehouse
Atlan Lakehouse is a knowledge architecture for storing, managing, and serving context to enterprise AI agents. Its design combines a knowledge graph, Iceberg-native file storage, vector-native search, and time travel. Context is exposed through MCP, A2A, SQL, and APIs. Atlan says its agents can use the Enterprise Data Graph to create asset descriptions, connect business terms, and surface business questions. Native connectors cover data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, with Snowflake, BigQuery, Tableau, dbt, and Airflow listed as examples. Connectors read metadata such as schemas, structures, lineage, ownership, and timestamps while source data remains in source systems. The App Framework lets developers, partners, and customers create custom connectors and apps with APIs, SDKs, CLI tools, and UI extension points. Atlan recommends single-tenant SaaS and lists AWS, Microsoft Azure, and Google Cloud Platform. A self-deployed runtime runs in the customer environment and requires additional enablement and licensing. Pricing is on request, and no free trial is offered.
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.