Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In today’s data-driven landscape, the quest for data often consumes more time than the actual analysis itself. Azure Data Catalog serves as a comprehensive metadata repository designed to simplify the process of discovering data assets across the enterprise. This fully-managed service empowers users—from analysts to data scientists and developers—to register, enhance, locate, comprehend, and utilize various data sources effectively. You can engage with data using your preferred tools, as Data Catalog enables you to access the information you require and integrate it seamlessly into your workflows. Your data remains where you prefer, while Data Catalog facilitates the exploration and utilization of that data in a user-friendly manner. By promoting widespread adoption and fostering ongoing value creation within your data ecosystem, Data Catalog provides useful insights, practical tips, and unwritten guidelines within a shared platform that benefits all users. With this tool, contributions from everyone are encouraged, leading to a democratization of data asset discovery that enhances collaborative efforts. This collective engagement ultimately transforms how organizations leverage data, paving the way for innovation and efficiency.
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
Azure API Apps
Yes
Azure API Management
Yes
Azure Cosmos DB
Yes
Azure DDoS
Yes
Blit
Yes
Data Sentinel
Yes
Dropbox
Yes
FileCatalyst
Yes
GitHub
Yes
Google Cloud Platform
Yes
Integrations
Azure API Apps
No
Azure API Management
No
Azure Cosmos DB
No
Azure DDoS
No
Blit
No
Data Sentinel
No
Dropbox
No
FileCatalyst
No
GitHub
No
Google Cloud Platform
No
Pricing Details
$1 per user per month
Free Trial
Yes
Free Version
Yes
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
Yes
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/data-catalog/
Vendor Details
Company Name
Quest Software
Founded
1987
Country
United States
Website
www.quest.com/data-management-platform
Product Features
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
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