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SPECIFICTION
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DataOS

themoderndatacompany.com

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Visit themoderndatacompany.com
Spec score 7.6 #11 of 25 in Data Fabric Software

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 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.

Spec sheet

Product
DataOS is a data activation layer that adds shared context, governance, and intelligence over an organization’s existing data stack.Read 3 Oct 2026 · themoderndatacompany.com
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.Read 3 Oct 2026 · themoderndatacompany.com
Deployment
The maker says DataOS can be deployed in any cloud environment and adapts to existing infrastructure.Read 3 Oct 2026 · themoderndatacompany.com
Integrations
The maker’s FAQ names AWS S3, Snowflake, Google BigQuery, Kafka, Jupyter Notebooks, Tableau, and Looker as supported connections or integrations.Read 3 Oct 2026 · themoderndatacompany.com
Security
The FAQ lists attribute-based access control, multi-factor authentication, encryption in transit and at rest, audit trails, and automated alerts.Read 3 Oct 2026 · themoderndatacompany.com
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.Read 3 Oct 2026 · themoderndatacompany.com
Headquarters
Palo Alto, CaliforniaRead 28 Sep 2026 · themoderndatacompany.com
Company
The Modern Data Company says it is headquartered in San Jose, California, with offices in Indore, Hyderabad, and Bangalore, India.Read 3 Oct 2026 · themoderndatacompany.com
AI access
Data products can be accessed through REST, GraphQL, and SQL, and exposed through MCP for AI tools and assistants.Read 3 Oct 2026 · themoderndatacompany.com
Data products
Its data products package data, transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs as reusable units.Read 3 Oct 2026 · themoderndatacompany.com
Existing stack
DataOS layers over existing infrastructure without requiring migration, and the maker says data can remain where it currently resides.Read 3 Oct 2026 · themoderndatacompany.com
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.Read 3 Oct 2026 · themoderndatacompany.com
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.Read 3 Oct 2026 · themoderndatacompany.com
Support and onboarding
The maker directs prospective customers to contact the company to discuss their data needs and get started.Read 3 Oct 2026 · themoderndatacompany.com

Plans and prices

Enterprise Price not published Yearly subscription; the page does not list a numeric rate. For enterprises with high volumes of usage · No limits on usage and functionality Read 3 Oct 2026 · themoderndatacompany.com
Pay as You Go Priced on request Pay-per-use; no upfront fees; the page does not list a numeric rate. Pay-per-use Read 3 Oct 2026 · themoderndatacompany.com

Every DataOS plan and price →

Strong points and limits

Strong points

  • Works over existing infrastructure
  • REST, GraphQL, SQL, and MCP access
  • Automatic data catalog
  • Governance and security controls
  • Any-cloud deployment

Limits

  • Pricing requires contacting the company
  • Pay-per-use rates and limits unspecified
  • Enterprise uses a yearly subscription

Who it suits

It is aimed at business teams, data teams, and AI agents that need governed access to existing data. Organizations wanting a layer over current infrastructure, rather than migration, may fit its deployment model.

Verdict

DataOS packages governed, reusable data products across existing infrastructure and exposes them to people and AI tools. Buyers must request pricing, and the pay-as-you-go model does not publish numeric rates or usage limits.

Where Specifiction places it

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