DataOS
DataOS: A governance-focused data product layer that works across existing infrastructure. Ranked #15 of 24 in Data Fabric Software by our editors (7.5/10); pricing: Pricing on request; best for enterprises organizing governed data products.
At a glance
- Editor score7.5 / 10
- PricingPricing on request
- Best forEnterprises organizing governed data products
- Deployment modelHybrid
- Facts checked23 Sep 2026
Where it wins
- Combines semantic models, lineage, ownership, and discoverability
- Adds access policies and quality contracts to reusable data products
- Delivers data through REST, GraphQL, and SQL
Where it doesn't
- Pricing requires contacting sales
- The listed integrations cover Snowflake, Databricks, and BigQuery
- Documentation is the only listed support channel
Our verdict on DataOS
DataOS is The Modern Data Company's data management and activation platform for enterprise teams that want to make data usable across existing systems. It sits over existing data infrastructure rather than requiring its replacement, and packages reusable data products for analytics, applications, automation, and AI workflows. Its scope combines transformation logic with semantic models, access policies, governance, quality contracts, and consumption interfaces. That makes it a fit for organizations trying to establish shared, governed ways to find and use data across teams, rather than for buyers seeking only a catalog or a standalone analytics tool.
The product's strongest differentiator is treating governance and delivery as part of the data product itself. Semantic models support shared business definitions and metrics; lineage, ownership, and discoverability help teams understand what a product contains and where it fits. Embedded access controls and usage policies govern consumption, while quality contracts and data quality controls address reliability at the product level. REST, GraphQL, and SQL provide different routes for downstream use. AI workflows are among the supported use cases, but the core proposition is broader: reusable data products across analytics and operational applications.
DataOS is positioned to work with existing infrastructure and lists Snowflake, Databricks, and BigQuery integrations. Cloud and self-hosted deployment options suit different infrastructure preferences, and GDPR is among its stated compliance support. Buyers should account for a contact-sales purchasing process and documentation as the listed support channel. The enterprise focus and governance depth make it worth considering for teams coordinating governed data products across systems; organizations that want a self-service purchase, extensive named support options, or a narrowly focused point solution may prefer a different fit.
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DataOS pricing
DataOS fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment model | Hybrid |
| Data catalog | Yes |
| Data lineage | Yes |
| Governance controls | Yes |
| Data virtualization | Not verified |
| Data delivery modes | Both |
| Connector count | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR |
| Support | Docs |
| Built for | Enterprise (editorial estimate) |
| Integrations | 3 integrations: Snowflake, Databricks, BigQuery |
| Pricing | Pricing on request |
| Website | themoderndatacompany.com |
| Facts checked | 23 Sep 2026 |
DataOS integrations
DataOS lists 3 integrations on its own site.
- Snowflake
- Databricks
- BigQuery
Alternatives to DataOS
- IBM Cloud Pak for DataA broad hybrid data fabric platform for cataloging, governance, delivery and AI workflows.9.3
- Informatica Intelligent Data Management CloudA broad hybrid data management platform for governed enterprise data operations.9.1
- K2View FabricA broad hybrid data fabric for governed entity data delivery across enterprise systems.8.8
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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