Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.
Description
The Quest Trusted Data Management Platform serves as a comprehensive, SaaS-based solution designed to provide reliable, AI-ready data throughout an organization. This platform integrates essential functionalities that span the entire data lifecycle, starting from modeling and cataloging to governance, ensuring data quality, facilitating marketplace access, and generating production-ready data products. With the Data Modeling feature, teams can create and manage conceptual, logical, and physical models effectively, while the Data Catalog acts as a centralized hub for discovering, understanding, classifying, and tracking data assets. Additionally, Data Governance plays a crucial role in managing policies, ensuring regulatory compliance, overseeing stewardship workflows, and implementing role-based controls at every stage of the data lifecycle. The Data Quality tools are vital for identifying, assessing, and rectifying data issues proactively to prevent downstream complications. Moreover, the Data Marketplace empowers users to explore available assets, request access, monitor usage, and engage with data contracts, thereby enhancing collaboration and efficiency in data management. Ultimately, this platform not only streamlines data processes but also elevates the overall value of data within the enterprise.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Angular
Yes
Databricks
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Microsoft Azure
Yes
Microsoft Excel
Yes
React
Yes
Salesforce
Yes
Snowflake
Yes
Integrations
Amazon Web Services (AWS)
No
Angular
No
Databricks
No
Google Cloud Platform
No
Jupyter Notebook
No
Microsoft Azure
No
Microsoft Excel
No
React
No
Salesforce
No
Snowflake
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
The Modern Data Company
Founded
2019
Country
United States
Website
www.themoderndatacompany.com
Vendor Details
Company Name
Quest Software
Founded
1987
Country
United States
Website
www.quest.com/data-management-platform
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No