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Ratings and Reviews 0 Ratings
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Effortlessly uncover, access, and interact with your data. Users should be able to quickly find the data they need through a user-friendly, AI-powered gallery that displays all the data assets available within your organization. This platform is specifically designed to make data access more democratic, offering a seamless experience reminiscent of online shopping for users keen on exploring, evaluating, and utilizing various data resources across the enterprise. By improving the visibility of data offerings through well-structured domains, tagging, and classification, users can effortlessly locate what they seek. Moreover, the steps to take action are streamlined, enabling users to leverage existing business intelligence and analytics tools or engage with the data using natural language processing. It's also essential to establish control over data access within the organization, implementing role-based permissions for data products and facilitating rapid approval of access requests. In this manner, your organization can cultivate a culture centered around data-informed decision-making while simultaneously ensuring both security and accessibility. Ultimately, fostering such an environment not only empowers users but also drives innovation and efficiency across departments.
What is Azure Data Catalog?
In the current environment driven by data, the search for relevant information often takes more time than the analysis itself. Azure Data Catalog acts as a versatile metadata repository tailored for organizations, streamlining the identification of data resources. This fully-managed platform accommodates a diverse array of users—including analysts, data scientists, and developers—allowing them to register, improve, locate, understand, and leverage various data sources. You can utilize your preferred tools, as Data Catalog aids in the discovery and use of the data you need. Your data remains securely stored in your chosen locations, while Data Catalog assists in effortless access and management through a user-friendly interface. By encouraging broad usage and promoting ongoing value creation within the data ecosystem, Data Catalog enables users to exchange insights, advice, and best practices, fostering a collaborative environment where everyone can gain advantages. This solution not only democratizes the discovery of data assets but also ensures that all users can participate in the process meaningfully. Such a strategy enhances cooperation and contributes to a richer overall data landscape within organizations, ultimately driving innovation and informed decision-making.
Integrations Supported
Microsoft Azure
Salesforce
Amazon S3
Azure API Apps
Azure Cosmos DB
Azure Key Vault
Blit
Dropbox
Google Cloud Platform
Looker
Integrations Supported
Microsoft Azure
Salesforce
Amazon S3
Azure API Apps
Azure Cosmos DB
Azure Key Vault
Blit
Dropbox
Google Cloud Platform
Looker
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$1 per user per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
RightData
Date Founded
2016
Company Location
United States
Company Website
www.getrightdata.com/product/datamarket
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/data-catalog/
Categories and Features
Categories and Features
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization