
Enterprise data operating system to build, govern, and activate AI-ready data products with speed, trust, and flexibility.
Vendor
The Modern Data Company
Company Website




The DataOS® Data Product Hub: Democratizing access to business-ready data products
Where business users can discover and activate trusted data products and dramatically accelerate time to insights without technical barriers.
Behind this seamless experience is DataOS, our enterprise-scale platform that makes it all possible. Think of it as your data product factory, turning complex data operations into a streamlined production line.
What Makes DataOS Different While others focus on managing data, DataOS makes it useful, bringing software engineering best practices to data.
- Artifact-first approach with full Git integration for software development practices and version control
- Declarative programming for faster development
- Extensive reusability of data components for faster build
- Built-in governance, compliance and quality controls
- Complete data observability to optimize, monitor and build trust
- Open standards lakehouse architecture built on Apache Iceberg to ensure data portability and zero vendor lock-in
Getting started is easy
- DataOS plugs directly into your existing data stack for seamless enterprise adoption at your pace - Quick integration with your existing data storage layer—no rip-and-replace needed - Minimal change management: adopt at your own pace with built-in transition tools
- Deployment & Implementation - Cloud-agnostic deployment in customer VPC - Clear documentation and implementation playbooks - Comprehensive training and enablement resources
- Security & Compliance - Comprehensive software supply chain security - SOC 2 Type I, and GDPR/CCPA compliance - End-to-end encryption
- Infrastructure & Scale - Performance monitoring and auto-scaling - Enterprise-grade SLAs - Data lifecycle-observability for efficient DataOps and Cloud FinOps
- Enterprise Workflow Integration - Seamless integration with ServiceNow, Jira, and other enterprise workflow tools - Embed data product lifecycle management into existing workflows - Automated ticketing and approval processes
Features
Each capability accelerates the journey from raw data to business value, enabling your organization to spend less time managing data and more time activating it for business impact.
- Simplify how to find and access data products: - Browse curated, business-ready data products with intuitive search - Discover data products by domain, use case or custom criteria - Filter by type, owner and SLO adherence
- Put data products to work instantly: - Connect seamlessly to your preferred tools, BI platforms, AI environments. - Self-serve API and GraphQL layer to build and deploy apps in minutes. - Live sync with Excel
- Ensure confidence in data products across the enterprise: - Enterprise-grade security and compliance with attribute-based access controls - Maintain data quality via data contracts and SLO monitoring. - Comprehensive governance framework promotes social trust and team collaboration
- Make technical data business ready: - Effortlessly convert technical data into business-friendly terms through active metadata management. - Create standardized data definitions across your organization.
- Establish organization-wide consistency: - Create a single source of truth for key business metrics - Standardize definitions to ensure consistent reporting everywhere - Make metrics discoverable, reusable, and accessible across teams
- Optimize data product value and performance: - Monitor usage and adoption across data products. - Track performance and costs for each data product. - Measure business impact and ROI.