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DataOS
What DataOS is
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 with transformation logic, semantic models, quality contracts, access policies, governance and consumption APIs. Products can be accessed through REST, GraphQL and SQL, or exposed through MCP for 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 data catalog. The maker says DataOS can sit over existing infrastructure without migration, allowing data to remain where it resides, and can be deployed in any cloud environment. Named integrations include AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau and Looker. Listed security measures include attribute-based access control, multifactor authentication, encryption in transit and at rest, audit trails and automated alerts. Pricing is on request. Pay-as-you-go has no stated rate or usage limits; Enterprise is a yearly subscription for high-volume organizations with no usage or functionality limits.
Who it suits
DataOS suits business and data teams that need shared, governed data products across an existing data stack. The maker also describes business users and AI agents as users of those products.
What it does well
- Can layer over existing infrastructure without migration.
- Data products are accessible through REST, GraphQL and SQL.
- Supports MCP exposure for AI tools and assistants.
- Lists integrations including Snowflake, BigQuery and Tableau.
- Enterprise plan has no usage or functionality limits.
What to know first
- Pricing is available on request.
- Pay-as-you-go rates and usage limits are unspecified.
- Enterprise is a yearly subscription.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Pay as You Go | Pay-per-use; no upfront fees; the page does not list a numeric rate. · Pay-per-use | On request |
| Enterprise | Yearly subscription; the page does not list a numeric rate. · For enterprises with high volumes of usage · No limits on usage and functionality | On request |
As themoderndatacompany.com lists them, read 3 Oct 2026. The maker's own page has the final word.
Verdict
DataOS combines reusable data products with governance, access and multiple consumption paths. Prospective customers need to contact the company to discuss their requirements and pricing.
Facts from DataOS's own pages
- AI access
- Data products can be accessed through REST, GraphQL, and SQL, and exposed through MCP for AI tools and assistants. · themoderndatacompany.com, 3 Oct 2026
- Company
- The Modern Data Company says it is headquartered in San Jose, California, with offices in Indore, Hyderabad, and Bangalore, India. · themoderndatacompany.com, 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. · themoderndatacompany.com, 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. · themoderndatacompany.com, 3 Oct 2026
- Deployment
- The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure. · themoderndatacompany.com, 3 Oct 2026
- Existing stack
- DataOS layers over existing infrastructure without requiring migration, and the maker says data can remain where it currently resides. · themoderndatacompany.com, 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. · themoderndatacompany.com, 3 Oct 2026
- Headquarters
- Palo Alto, California · themoderndatacompany.com, 28 Sept 2026
- Integrations
- The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations. · themoderndatacompany.com, 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. · themoderndatacompany.com, 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. · themoderndatacompany.com, 3 Oct 2026
- Product
- DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack. · themoderndatacompany.com, 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. · themoderndatacompany.com, 3 Oct 2026
- Support and onboarding
- The maker directs prospective customers to contact the company to discuss their data needs and get started. · themoderndatacompany.com, 3 Oct 2026
Where DataOS stands on Freedom251
- Data Fabric Software#9 of 25