Atlan Lakehouse vs data.world Data Catalog
Atlan Lakehouse
atlan.com
data.world Data Catalog
data.worldSide by side
| Figure | Atlan Lakehouse | data.world Data Catalog |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Catalog Software | 7.5 (#4) | 7.3 (#5) |
| Spec score · Data Lineage Tools | 7.5 (#19) | 7.2 (#25) |
| Compliance | Atlan's documentation lists SOC 2 Type II, HIPAA, ISO 27001, and GDPR among its certifications or compliance frameworks. | The security page reports a completed third-party SOC 2 Type II audit with a 2022 report and an affirmative HIPAA opinion; it says to contact the company for a BAA. |
| Founded | 2020 | 2016 |
| 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. | Documented supported sources include Databricks, Amazon S3, BigQuery, Power BI, Tableau, Microsoft Fabric, dbt Core, dbt Cloud, and Fivetran. |
| Purpose | Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale. | The catalog helps enterprises activate metadata, enforce governance, and support collaboration across teams. |
| Support | Atlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues. | The security page says staff are on call 24/7 for incident management and members may get support through help.data.world. |
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.
data.world Data Catalog
data.world Data Catalog has no write-up on Specifiction yet; its figures are above.