DataOS
DataOS is a data activation layer for organizations that want to add shared context, governance, and intelligence across their existing data stack.
What DataOS is
DataOS is a data activation layer for organizations that want to add shared context, governance, and intelligence across their existing data stack. Its reusable data products combine data with transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs. They can be accessed through REST, GraphQL, or SQL, and exposed through MCP to AI tools and assistants. Listed capabilities include observability, data quality and sharing, a knowledge graph, a built-in lakehouse, a distributed SQL workbench, and an automatic catalog. Named connections include AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker. DataOS can sit over existing infrastructure without requiring migration, and the maker says data can remain where it is. Deployment is available in any cloud environment. Security measures listed include attribute-based access control, multifactor authentication, encryption, audit trails, and automated alerts. Pricing is on request; pay-per-use rates and limits are unspecified, while Enterprise is a yearly subscription.
Good
- Works over existing infrastructure without migration.
- Data products support REST, GraphQL, SQL, and MCP.
- Lists observability, data quality, and governance features.
- Security includes access controls, encryption, and audit trails.
Watch out
- Pricing is available only on request.
- Pay-per-use rates and usage limits are unspecified.
- Enterprise is billed as a yearly subscription.
Who it suits
DataOS suits business and data teams, as well as organizations using AI agents, that want governed access to reusable data products. Business users can find and use trusted data without engineering support.
Verdict
DataOS combines reusable data products with governance and multiple access methods across an existing data stack. Prospective customers need to contact the company to discuss their data needs and get started.
Plans and prices
From DataOS's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Enterprise | — | For enterprises with high volumes of usage · No limits on usage and functionality · Yearly subscription; the page does not list a numeric rate. |
| Pay as You Go | Priced on request | Pay-per-use · Pay-per-use; no upfront fees; the page does not list a numeric rate. |
The facts
Each one read from DataOS's own pages, with the date it was checked.
What it does
- AI access
- Data products can be accessed through REST, GraphQL, and SQL, and exposed through MCP for AI tools and assistants.checked 3 Oct 2026
- Compliance
- The maker says DataOS simplifies compliance with HIPAA, SOC 2, and GDPR, and separately announced TX-RAMP Level 2 certification active through July 13, 2027.checked 3 Oct 2026
- Data products
- Its data products package data, transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs as reusable units.checked 3 Oct 2026
- Deployment
- The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure.checked 3 Oct 2026
- Existing stack
- DataOS layers over existing infrastructure without requiring migration, and the maker says data can remain where it currently resides.checked 3 Oct 2026
- Features
- The pricing page lists observability, data quality, data sharing, a knowledge graph, a built-in lakehouse, governance, a distributed SQL workbench, and an automatic data catalog.checked 3 Oct 2026
- Integrations
- The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations.checked 3 Oct 2026
- 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.checked 3 Oct 2026
- Limits
- The Enterprise plan is described as a yearly subscription for high-volume enterprises with no usage or functionality limits; the pay-as-you-go model’s rates and usage limits are not specified on the pricing page.checked 3 Oct 2026
- Product
- DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack.checked 3 Oct 2026
- Security
- The FAQ lists attribute-based access control, multi-factor authentication, encryption in transit and at rest, audit trails, and automated alerts.checked 3 Oct 2026
- Support and onboarding
- The maker directs prospective customers to contact the company to discuss their data needs and get started.checked 3 Oct 2026
The company
- Company
- The Modern Data Company says it is headquartered in San Jose, California, with offices in Indore, Hyderabad, and Bangalore, India.checked 3 Oct 2026
- Headquarters
- Palo Alto, Californiachecked 28 Sep 2026
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