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DataOS
Palo Alto, California
What it 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, 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, data sharing, a knowledge graph, a built-in lakehouse, governance, a distributed SQL workbench, and an automatic data catalog. Named integrations include AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker. DataOS can layer over existing infrastructure without requiring migration and can be deployed in any cloud environment. Security features include attribute-based access control, multifactor authentication, encryption in transit and at rest, audit trails, and automated alerts. Pricing is on request through pay-per-use or Enterprise subscription models.
For and against
For
- Works over existing infrastructure without migration
- Packages reusable data products
- Supports REST, GraphQL, SQL, and MCP
- Includes catalog, lineage, and governance controls
- Deploys in any cloud environment
Against
- Enterprise pricing is on request
- Security and compliance details come from the maker
The verdict
DataOS focuses on making existing data discoverable, governed, and usable by teams and AI tools. Prospective customers must contact the company for pricing and onboarding details.
Who it suits
It suits business teams, data teams, and AI agents that need governed access to existing data. Organizations wanting to keep data in place while adding cataloging and governance may consider it.
Plans and prices
Enterprise
For enterprises with high volumes of usage · No limits on usage and functionality
Read 3 Oct 2026 · themoderndatacompany.com
Pay as You Go
Pay-per-use
Read 3 Oct 2026 · themoderndatacompany.com
On the record
- AI access
- Data products can be accessed through REST, GraphQL, and SQL, and exposed through MCP for AI tools and assistants.themoderndatacompany.com · read 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 · read 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 · read 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 · read 3 Oct 2026
- Deployment
- The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure.themoderndatacompany.com · read 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 · read 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 · read 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.themoderndatacompany.com · read 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 · read 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 · read 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 · read 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 · read 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 · read 3 Oct 2026
