Atlan Lakehouse vs Polytomic
Atlan Lakehouse
atlan.com
Polytomic
polytomic.comSide by side
| Figure | Atlan Lakehouse | Polytomic |
|---|---|---|
| Price from | — | $500/mo |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · AWS Marketplace Software | 7.6 (#11) | 7.7 (#9) |
| Deployment | Atlan describes itself as cloud-first, recommends single-tenant SaaS, and lists AWS, Microsoft Azure, and Google Cloud Platform as hosting options. | Polytomic is available as a hosted service or as a self-hosted version running in a customer's private cloud; AWS PrivateLink is also available for hosted deployments. |
| 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 integrations page lists connectors including Snowflake, Salesforce, Marketo, HubSpot, PostgreSQL, BigQuery, Stripe, Databricks, and HTTP API. |
| Purpose | Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale. | Polytomic provides bidirectional ETL and data syncing between data warehouses, databases, cloud applications, storage, spreadsheets, and HTTP APIs. |
| Support | Atlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues. | The homepage says the team replies to messages in under a minute; Standard includes live chat support, while Enterprise includes phone support and a dedicated engineer. |
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.