Audience

Data leaders, analytics teams, and enterprises that need a unified platform to turn raw data into trusted, AI-ready data products for faster business insights and decision-making

About Modern DataOS

The Modern Data Company’s flagship offering is DataOS, a data operating system that radically simplifies how organizations unify, manage, and activate data at scale by turning raw data into governed, reusable, AI-ready data products that power insights and decisions without slowing teams down. DataOS lays a composable, open layer on top of existing data infrastructure so businesses can discover and activate trusted data products with built-in policies, ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across domains, reducing complexity and hidden costs while accelerating time to value. It features robust discovery and search capabilities so users can browse curated, business-ready data products by domain or use case, coupled with global metrics and lifecycle management to monitor usage, performance, adoption, and ROI of data products throughout their lifecycle.

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Integrations

API:
Yes, Modern DataOS offers API access
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Ratings/Reviews

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features 0.0 / 5
design 0.0 / 5
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Company Information

The Modern Data Company
Founded: 2019
United States
www.themoderndatacompany.com

Videos and Screen Captures

Modern DataOS Screenshot 1
Modern DataOS Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Modern DataOS Frequently Asked Questions

Q: What kinds of users and organization types does Modern DataOS work with?
Q: What languages does Modern DataOS support in their product?
Q: What kind of support options does Modern DataOS offer?
Q: What other applications or services does Modern DataOS integrate with?
Q: Does Modern DataOS have an API?
Q: What type of training does Modern DataOS provide?

Modern DataOS Product Features

Data Management

Information Governance
Data Analysis
Data Migration
Data Quality Control
Master Data Management
Customer Data
Data Integration
Match & Merge
Data Capture
Data Security