DataOS vs Promethium
DataOS
themoderndatacompany.comPromethium
promethium.aiSide by side
| Figure | DataOS | Promethium |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Data Fabric Software | 7.6 (#11) | 7.1 (#17) |
| Deployment | The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure. | Promethium describes a hybrid architecture with a Promethium-managed cloud control plane and a customer-deployed data plane in a VPC or on-premises environment. |
| Headquarters | Palo Alto, California | Menlo Park, California, United States |
| Integrations | The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations. | The maker lists native data connectors including Snowflake, Databricks, Oracle, PostgreSQL, S3, and Salesforce. |
| Intended users | The maker describes DataOS as serving business teams, data teams, and AI agents, with business users able to find and use trusted data without engineering support. | Promethium presents use cases for data and business analysts, business users and executives, and agents and applications. |
Plans
In their own words
DataOS
DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack. Its reusable data products combine data, transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs. Products are available through REST, GraphQL, and SQL, and can be exposed through MCP for AI tools and assistants. Listed capabilities include observability, data quality, data sharing, a knowledge graph, a built-in lakehouse, governance, a distributed SQL workbench, and an automatic data catalog. Named connections include AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker. DataOS can layer over infrastructure without migration, keep data where it resides, and deploy in any cloud environment. Security listings include attribute-based access control, multifactor authentication, encryption, audit trails, and alerts. Pricing is on request: pay-per-use rates and limits are unspecified, while Enterprise is yearly with no usage or functionality limits.
Promethium
Promethium has no write-up on Specifiction yet; its figures are above.