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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.

What is Apache Atlas?

Atlas is a powerful and flexible suite of crucial governance services that enables organizations to meet their compliance requirements effectively within Hadoop, while also integrating smoothly with the larger enterprise data environment. Apache Atlas equips organizations with the tools to oversee open metadata and governance, allowing them to build an extensive catalog of their data assets, classify and manage these resources, and encourage collaboration among data scientists, analysts, and the governance team. It comes with predefined types for a wide range of metadata relevant to both Hadoop and non-Hadoop settings, and it also allows for the creation of custom types to better handle metadata management. These custom types can include basic attributes, complex attributes, and references to objects, and they can inherit features from other types. Entities serve as instances of these types, containing specific details about the metadata objects and their relationships. Moreover, the provision of REST APIs streamlines interaction with types and instances, thereby improving the overall connectivity and functionality within the data framework. This holistic strategy guarantees that organizations can adeptly manage their data governance requirements while remaining responsive to changing demands, ultimately leading to more effective data stewardship. Furthermore, by utilizing Atlas, organizations can enhance their data integrity and compliance efforts, further strengthening their operational resilience.

Media

Media

Integrations Supported

Azure API Apps
Azure API Management
Azure Cosmos DB
Azure DDoS
Azure Key Vault
Blit
Dropbox
FileCatalyst
GitHub
Microsoft Azure
Olono
Peaka
Upollo

Integrations Supported

Amazon Web Services (AWS)
Beats
Hackolade
Hive Data
Hue
Spark

API Availability

Has API

API Availability

Has API

Pricing Information

$1 per user per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/data-catalog/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

atlas.apache.org/#/

Categories and Features

Data Catalog

Not specified

Metadata Management

Not specified

Categories and Features

Data Catalog

Not specified

Data Governance

Not specified

Data Lineage

Not specified

Data Masking

Not specified

Metadata Management

Not specified

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