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What is Oracle Cloud Infrastructure Data Catalog?

The OCI Data Catalog by Oracle Cloud Infrastructure is a robust metadata management solution aimed at data professionals, enhancing their ability to discover and govern data effectively. Tailored to work seamlessly within the Oracle ecosystem, it features an asset inventory, a business glossary, and a metastore that supports data lakes. This fully managed service takes full advantage of Oracle Cloud Infrastructure's expansive capabilities and scalability. Users benefit from Oracle Cloud's strong security, reliability, and performance while utilizing the various offerings of the OCI Data Catalog. Developers can also utilize REST APIs and SDKs to integrate the catalog's functionalities into custom applications they are building. Administrators gain a dependable system for managing user identities and access rights, allowing for controlled access to catalog objects in line with established security policies. By examining data assets from both Oracle's on-premises and cloud settings, organizations can significantly enhance the value they derive from their data. This all-encompassing strategy guarantees that data management and governance are in sync with organizational objectives and compliance standards, fostering a culture of data-driven decision-making. Ultimately, the OCI Data Catalog stands as an essential tool for organizations seeking to maximize their data assets strategically.

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

Acxiom InfoBase
Amazon Web Services (AWS)
Azure Data Lake
Beats
Cisco Secure Cloud Analytics
CreativeTime Attendance
Hackolade
Hadoop
Hive Data
Hue
JanusGraph
Kinetica
Occubee
Oracle Cloud Infrastructure
Spark

Integrations Supported

Acxiom InfoBase
Amazon Web Services (AWS)
Azure Data Lake
Beats
Cisco Secure Cloud Analytics
CreativeTime Attendance
Hackolade
Hadoop
Hive Data
Hue
JanusGraph
Kinetica
Occubee
Oracle Cloud Infrastructure
Spark

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/big-data/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 Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

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