About Azure Data Catalog
Azure Data Catalog is a data management software from Microsoft that simplifies cataloging data. It combines features such as metadata management, data discovery, and governance tools so organizations can improve their data utilization. The platform offers embedded security and compliance, reduces search time for data assets, and supports comprehensive visibility into data sources. With Azure Data Catalog, users can easily view over 200 products, utilize the Microsoft Foundry, integrate with the Foundry Agent Service, use Azure Copilot, and ensure observability in the Foundry Control Plane. Key capabilities: metadata management data governance data discovery security compliance product visibility Best for: data professionals that need efficient data management and discovery solutions.
*Azure Data Catalog by Microsoft* is a fully managed cloud-based service designed to enable organizations to efficiently register, discover, understand, and consume data assets. Its primary purpose is metadata management—helping data professionals and business users easily find and understand data sources spread across a company’s data landscape. The catalog serves as a central repository where metadata about databases, files, data lakes, and other data systems is indexed and made searchable. Key features include automated data source discovery, metadata tagging, business glossary support, search functionality, and integration with Azure services such as Azure Data Factory, Synapse Analytics, and Power BI. Although Microsoft has evolved its catalog capabilities into the broader *Azure Purview* (now part of Microsoft Fabric), *Azure Data Catalog* remains a foundational tool for many enterprises. The interface of Azure Data Catalog is clean, minimalist, and user-friendly, reflecting Microsoft’s modern design standards. It is web-based and accessible via any modern browser. Users are greeted with a simple dashboard that allows them to quickly register new data assets, search existing ones, or browse using categories and tags.
Pros & Cons
- Significantly reduces the time and effort needed to find relevant data assets across the enterprise.
- Facilitates a deeper comprehension of data through metadata, annotations, and the capture of tribal knowledge.
- Bridges the gap between IT and business users, enabling a wider range of individuals to contribute insights and discover data.
- Seamlessly integrates with other Azure services and offers open REST APIs for broader connectivity.
- Benefits from Microsoft's significant investments in cybersecurity and extensive compliance certifications.
- Primarily optimized for Azure environments, which might limit its appeal or integration complexity for organizations heavily invested in other cloud providers or on-premises solutions.
- While designed for ease of use, mastering all features and integrating it effectively into complex data environments can still require some learning.
- For smaller datasets or less complex data landscapes, the comprehensive features might be overkill.
Features
Key features
Enables users to quickly find relevant data assets across the organization.
Provides a centralized platform to register, manage, and organize metadata from various enterprise data sources. Knowledge Capture (Tribal Knowledge): Facilitates the capture and sharing of insights, tips, and unwritten rules about data assets.
Allows users to access and work with data in their preferred tools.
Provides control over who can discover registered data assets, helping organizations manage and protect valuable information and ensure compliance.
Additional features
Emphasizes flexibility in how users interact with their data.
Specific feature for documenting informal data knowledge.
Helps uncover data that might otherwise go unnoticed.
A key benefit, making data discovery faster.
Focuses on both finding data and understanding its utility.
Promotes collaboration between different departments.
Ensures data security and appropriate access.
General benefit of increased efficiency.
The act of adding data sources to the catalog.
Broader data governance capabilities.
Encourages active use of data.
Promotes a holistic view of data.
Pricing
Countries & Languages
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About Azure Data Catalog
Azure Data Catalog is a data management software from Microsoft that simplifies cataloging data. It combines features such as metadata management, data discovery, and governance tools so organizations can improve their data utilization. The platform offers embedded security and compliance, reduces search time for data assets, and supports comprehensive visibility into data sources. With Azure Data Catalog, users can easily view over 200 products, utilize the Microsoft Foundry, integrate with the Foundry Agent Service, use Azure Copilot, and ensure observability in the Foundry Control Plane. Key capabilities: metadata management data governance data discovery security compliance product visibility Best for: data professionals that need efficient data management and discovery solutions.
Azure Data Catalog Details
Azure Data Catalog's In-App Market Place
Does Azure Data Catalog have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹), RUB (₽), BRL (R$), MXN ($)
Pros & Cons
- Significantly reduces the time and effort needed to find relevant data assets across the enterprise.
- Facilitates a deeper comprehension of data through metadata, annotations, and the capture of tribal knowledge.
- Bridges the gap between IT and business users, enabling a wider range of individuals to contribute insights and discover data.
- Seamlessly integrates with other Azure services and offers open REST APIs for broader connectivity.
- Benefits from Microsoft's significant investments in cybersecurity and extensive compliance certifications.
- Primarily optimized for Azure environments, which might limit its appeal or integration complexity for organizations heavily invested in other cloud providers or on-premises solutions.
- While designed for ease of use, mastering all features and integrating it effectively into complex data environments can still require some learning.
- For smaller datasets or less complex data landscapes, the comprehensive features might be overkill.
Azure Data Catalog's Support Options
Documentation
https://learn.microsoft.com/en-us/azure/