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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Facilitate rapid and secure data sharing by creating an engaging marketplace that allows users to access data with assurance. Promote the responsible distribution of verified data products that drive analytical and AI efforts. Empower teams to independently discover, request, and assess pertinent data through self-service capabilities. Ensure that trusted data sharing is automated in compliance with governance standards. Distribute and highlight curated datasets, AI/ML models, and pipelines from a diverse array of sources. Enhance efficiency by streamlining processes from ordering to delivery while providing easy tracking of operational metrics. Foster improved data literacy through actionable insights and reviews, guiding users on optimal data-driven decisions. Use communication tools like chat, reviews, alerts, and user ratings to share insights and foster collaboration among teams across the organization. A data-sharing marketplace serves as a crucial link between data providers and consumers, allowing for seamless access to valuable information. Such a marketplace empowers organizations to swiftly locate, comprehend, trust, and utilize relevant data through automated processes, ultimately enhancing decision-making capabilities. By bridging the gap between data supply and demand, it cultivates a culture of data-driven innovation and collaboration.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com/products/data-governance/cloud-data-marketplace.html

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 

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